One run, step by step, and one step you operate
A Grade 11 class wanted to know what is actually documented about three aviation incidents that circulate online as UFO cases. What follows is that run. Step three is live, so the approval LoQuery asks for there is one you make yourself, on a list you can change.
Describe a category, so LoQuery builds the list
One line and four column names are the whole input, and LoQuery works out the search terms, the sources and the domain for itself.
The plan beside it names six preferred sources, none of them typed by anyone, so you can start on a subject you have no list for.
Two words used throughout. Discovery is the stage that finds the items when you have described a category instead of listing one, and the six stages that run a job carry working names like Task Doer, which fetches and extracts, and Evaluator, which scores what came back against the document it came from.
- Direct Research
- Discovery
- Analytical Soon
Domains you specify are excluded from search, URL ranking, Task Doer extraction and Evaluator scoring, regardless of whether the research model would have picked them.
Aviation history · Discovery Plan 4 sections
- 1 · Research subject event
- 2 · Entity type & domain event · domain: aviation history
- 3 · Discovery progress research · item_1/3
- 4 · Preferred sources aviation-safety.net, gov, canada.ca, archives.gov, nasa.gov, mil
Discovery runs in waves, then stops itself
The class did not type the three incidents, because working out which ones exist is the first half of the job and the harder half of it. That half happens by hand, before any tool is involved. LoQuery runs discovery in waves and logs the reason it stopped, so you can see every query it tried and every candidate it threw away. The rejected column is the one worth reading.
-
Ten queries, most anchored with a site: operator to national archives, defence and transport departments, accident databases.
- Queries
- 10
- URLs
- 34
- Kept
- 3
- Rejected
- 2
Both rejections were page furniture. An article heading and a place name.
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Queries built from what wave 1 found, plus everything already tried, so the wave is pushed toward what it has not seen.
- Queries
- 8
- URLs
- 29
- Kept
- 2
- Rejected
- 1
Two more surfaced, both government programmes rather than incidents. The rejection was a duplicate under a different spelling.
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No site: operators. Domain-specific phrasing aimed at whatever the first two waves did not reach.
- Queries
- 6
- URLs
- 21
- Kept
- 0
- Rejected
- 1
Nothing new. A wave that returns nothing, after one that barely moved, is the signal to stop.
Discovery stopped rather than opening a fourth wave: the target was met and the last wave returned nothing. It logs that decision as budget_satisfied_await_confirmation.
-
Ten queries, most anchored with a site: operator to national archives, defence and transport departments, accident databases.
- Queries
- 10
- URLs
- 34
- Kept
- 3
- Rejected
- 2
Both rejections were page furniture. An article heading and a place name.
-
Queries built from what wave 1 found, plus everything already tried, so the wave is pushed toward what it has not seen.
- Queries
- 8
- URLs
- 29
- Kept
- 2
- Rejected
- 1
Two more surfaced, both government programmes rather than incidents. The rejection was a duplicate under a different spelling.
-
No site: operators. Domain-specific phrasing aimed at whatever the first two waves did not reach.
- Queries
- 6
- URLs
- 21
- Kept
- 0
- Rejected
- 1
Nothing new. A wave that returns nothing, after one that barely moved, is the signal to stop.
Discovery stopped rather than opening a fourth wave: the target was met and the last wave returned nothing. It logs that decision as budget_satisfied_await_confirmation.
Press Esc or click outside to close
Cell values, sources and caveats here are real and open to checking. The scores, attempt counts and source totals show the shape of a run and get replaced once a captured session record lands.
Approve the list, so nothing runs without you
This one is live. Strike a candidate below and the count on the button follows. Discovery narrowed 84 URLs down to five names, and two of those five turned out to be government programmes rather than the incidents the question asked for. LoQuery scored them lowest and kept them, so the call is yours.
You asked forAerial incidents over Canada or the Great Lakes that a government or military body formally investigated
Strike anything that does not belong. Nothing is researched until you proceed, so this is the cheapest place in the whole run to be strict.
- Top 10 Canadian UFO cases A page heading, not a thing you could research.
- Wilbert Smith A person. The query asked for incidents.
- Manitoba A location. Rejected at the metadata pre-filter.
- Library and Archives Canada An institution, and one of the sources being read.
Cell values, sources and caveats here are real and open to checking. The scores, attempt counts and source totals show the shape of a run and get replaced once a captured session record lands.
LoQuery flags an item, then researches it anyway
Entity screening read the 1994 item before any research started. The item ran because you approved it. The warning travels with the row into the results table, so you can quote that value in an essay later and show exactly why LoQuery doubted it.
Item warnings · 1
Lake Michigan 1994 incident: Entity screening flagged 'Lake Michigan 1994 incident' (Resolves to a cluster of reports across several Michigan towns rather than one documented incident with a single record.) Researching it anyway because you approved it. Treat its results with this in mind.
The table comes back with one row empty
Three items went in, and a student's own browser fetched twenty-four pages across eight domains, so no server of ours went near a single one of them.
Every filled cell carries the document behind it, and the one row LoQuery could not fill carries, in its own words, the reason it stayed empty. LoQuery guesses nothing. So you can mark a gap rather than grade a guess.
| Item name | Score | Verdict | Why | Caveats | Date | Official explanation | Primary source | Still unexplained |
|---|---|---|---|---|---|---|---|---|
| Kinross incident 2 attempts | 0.71 | confirmed with caveats | Score 0.71; a USAF determination is on record and is contested, and no government or military file was located. The best available source is a user-submitted database entry. | source_contested uncalibrated_authority_domain | 23 November 1953 aviation-safety.net/wikibase/161691 | USAF: the F-89C was tracking an off-course RCAF C-47 and was lost over Lake Superior en.wikipedia.org/wiki/Felix_Moncla | None located. ASN WikiBase entry 161691 is user-submitted, not the USAF report aviation-safety.net/wikibase/161691 | No. A determination was issued, and the RCAF pilot named in it denied being intercepted en.wikipedia.org/wiki/Felix_Moncla |
| Shag Harbour incident 1 attempt | 1 | confirmed | Entity passed quality threshold (score 1.00) with verifying data. Research task succeeded. | 4 October 1967 en.wikipedia.org/wiki/Shag_Harbour_UFO_incident | No determination reached; investigated by the RCMP and Canadian Forces en.wikipedia.org/wiki/Shag_Harbour_UFO_incident | RCMP and DND records held at Library and Archives Canada bac-lac.gc.ca/…/list/43130 | Yes. No conclusion was reached en.wikipedia.org/wiki/Shag_Harbour_UFO_incident | |
| Lake Michigan 1994 incident 3 attempts | 0.18 | mismatch | Low score (0.18); zero of 2 evidentiary field(s) filled. The 1994 reports are a cluster of sightings across several towns, so no single incident record resolves. | Not Found | Not Found | Not Found | Not Found |
Cell values, sources and caveats here are real and open to checking. The scores, attempt counts and source totals show the shape of a run and get replaced once a captured session record lands.
Same machinery, a different subject
An analyst listed three commodities traders and asked for four things about each one: the regulator, the penalty, the date of the order and the primary filing. Nobody wrote a line of code for enforcement. LoQuery worked the subject type, the domain and five preferred sources out of the question alone, so you can point it at a field nobody coded for.
- Direct Research
- Discovery
- Analytical Soon
Domains you specify are excluded from search, URL ranking, Task Doer extraction and Evaluator scoring, regardless of whether the research model would have picked them.
Enforcement · Discovery Plan 4 sections
- 1 · Research subject organisation
- 2 · Entity type & domain company · domain: enforcement
- 3 · Discovery progress research · item_1/3
- 4 · Preferred sources sec.gov, justice.gov, cftc.gov, gov, courtlistener.com
Every figure carries the filing it came from
Three rows, twelve cells, a link on each. So you can defend one figure without re-running the job. Not one came back clean. The Vitol penalty combines a Justice Department and a Brazil resolution, and a parallel CFTC order issued the same day offsets part of it.
Adding the two headline figures gives a total nobody owed, which is exactly the mistake a bibliography at the end of a report lets a reader make. LoQuery read nineteen pages across five domains here. Three of the five domains are the federal agencies themselves.
| Item name | Score | Verdict | Why | Caveats | Regulator | Penalty amount | Date of order | Primary filing |
|---|---|---|---|---|---|---|---|---|
| Vitol Inc 2 attempts | 0.79 | confirmed with caveats | Score 0.79; the USD 135m is a combined DOJ and Brazil resolution, and a parallel CFTC order the same day partly offsets against it. The figures are neither one number nor two that add up. | parallel_action_unreported | US Department of Justice justice.gov/…/vitol-inc-agrees-pay-over-135-million | USD 135,000,000, combined DOJ and Brazil. A parallel CFTC order of USD 95,700,000 partly offsets against it cftc.gov/PressRoom/PressReleases/8326-20 | 3 December 2020 justice.gov/…/vitol-inc-agrees-pay-over-135-million | Deferred prosecution agreement (FCPA) justice.gov/…/vitol-inc-agrees-pay-over-135-million |
| Glencore Ltd 3 attempts | 0.78 | confirmed with caveats | Score 0.78; the order names three Glencore entities collectively, so the figure is not attributable to the named item alone. | entity_scope_broader_than_item | CFTC cftc.gov/PressRoom/PressReleases/8534-22 | USD 1,186,345,850, penalty plus disgorgement, three entities collectively cftc.gov/PressRoom/PressReleases/8534-22 | 24 May 2022 cftc.gov/PressRoom/PressReleases/8534-22 | CFTC order cftc.gov/PressRoom/PressReleases/8534-22 |
| Freepoint Commodities 3 attempts | 0.74 | confirmed with caveats | Score 0.74; a parallel CFTC order charges the same conduct under a different statute and is largely offset against this one, so neither figure alone is the answer and adding them is wrong. | parallel_action_unreported | US Department of Justice justice.gov/…/commodities-trading-company-98m | USD 98,551,150, DOJ penalty and forfeiture. The parallel CFTC order is largely offset, with USD 7.6m disgorged cftc.gov/PressRoom/PressReleases/8834-23 | 14 December 2023 justice.gov/…/commodities-trading-company-98m | Three-year deferred prosecution agreement, District of Connecticut justice.gov/…/commodities-trading-company-98m |
Sources Discovered 19 sources 5 domains
Most-used sources
- www.justice.gov × 4
- www.cftc.gov × 4
- www.sec.gov × 2
- www.courtlistener.com × 1
- www.reuters.com × 1
Cell values, sources and caveats here are real and open to checking. The scores, attempt counts and source totals show the shape of a run and get replaced once a captured session record lands.
Steer the run, so the verdict is yours
LoQuery takes a typed instruction while a run is still going, aimed at whichever stage of the run you want it to land on. The aviation run got a validation rule at the research stage: count a source as primary only if it is a government or military file. The enforcement run got a manual verdict at the evaluation stage, because the Glencore figure covers three legal entities and one of them is not called Glencore. Neither restarted the run. So you can correct one result without running the whole job again.
User input injection
22 actions, each aimed at a stage you choose
- Force include URL
- Exclude domain pattern
- Raise confidence threshold
- Lower confidence threshold
- Force rerun item
- Set verdict manually
- Override verdict reasoning
- Pause pipeline
- Resume pipeline
- Boost URL (pre-extraction)
- Reject URL (pre-extraction)
- Restore dropped URL
- Flag item as priority
- Flag item to skip
- Agree with verdict
- Boost source authority
- Demote source authority
- Add search query
- Add sources (bulk CSV)
- Extend entity definition
- Add validation rule
- Add knowledge triple
Target stage
- Discovery
- Research
- Evaluation
Tell me in your own words
only count a source as primary if it is a government or military file
User input injection
22 actions, each aimed at a stage you choose
- Force include URL
- Exclude domain pattern
- Raise confidence threshold
- Lower confidence threshold
- Force rerun item
- Set verdict manually
- Override verdict reasoning
- Pause pipeline
- Resume pipeline
- Boost URL (pre-extraction)
- Reject URL (pre-extraction)
- Restore dropped URL
- Flag item as priority
- Flag item to skip
- Agree with verdict
- Boost source authority
- Demote source authority
- Add search query
- Add sources (bulk CSV)
- Extend entity definition
- Add validation rule
- Add knowledge triple
Target stage
- Discovery
- Research
- Evaluation
Tell me in your own words
the Glencore figure covers three entities, mark it uncertain