Triple
T12770400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vimy Ridge |
E305232
|
entity |
| Predicate | battleCasualtiesCanadianKilled |
P94437
|
FINISHED |
| Object | over 3,500 Canadian soldiers killed |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: over 3,500 Canadian soldiers killed | Statement: [Vimy Ridge, battleCasualtiesCanadianKilled, over 3,500 Canadian soldiers killed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battleCasualtiesCanadianKilled Context triple: [Vimy Ridge, battleCasualtiesCanadianKilled, over 3,500 Canadian soldiers killed]
-
A.
CanadianCasualtiesApprox
chosen
Indicates an approximate number or estimate of Canadian casualties resulting from a particular event or situation.
-
B.
NATOcasualtiesMilitaryKilled
Indicates that members of NATO military forces were killed as casualties.
-
C.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
-
D.
UScasualties
Indicates the number or occurrence of casualties suffered by the United States in a given conflict, event, or situation.
-
E.
englishCasualtiesKilledAndWounded
Indicates the number of English individuals who were either killed or wounded as a result of a particular event or conflict.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.