Triple
T24967491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Frenchtown |
E624788
|
entity |
| Predicate | strengthBritishAndAllies |
P40540
|
FINISHED |
| Object | approximately 1,300 to 1,500 troops |
—
|
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: approximately 1,300 to 1,500 troops | Statement: [Battle of Frenchtown, strengthBritishAndAllies, approximately 1,300 to 1,500 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthBritishAndAllies Context triple: [Battle of Frenchtown, strengthBritishAndAllies, approximately 1,300 to 1,500 troops]
-
A.
strengthBritishForces
chosen
Indicates the numerical size or combat capacity of British military forces in a given context or operation.
-
B.
mainAlliedForce
Indicates that one entity serves as the primary allied military force supporting or cooperating with another entity in a conflict or operation.
-
C.
alliedForces
Indicates that multiple entities are cooperating militarily or strategically as part of the same alliance or coalition.
-
D.
mainAlliedPower
Indicates that an entity serves as a primary or leading ally to another entity within an alliance or coalition.
-
E.
BritishForcesType
Indicates that an entity is classified as a type or category within the British armed forces.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6 a.m.