Triple
T4970258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Freeman's Farm |
E111630
|
entity |
| Predicate | BritishForcesStrength |
P40540
|
FINISHED |
| Object | approximately 6,000–7,000 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 6,000–7,000 troops | Statement: [Battle of Freeman's Farm, BritishForcesStrength, approximately 6,000–7,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BritishForcesStrength Context triple: [Battle of Freeman's Farm, BritishForcesStrength, approximately 6,000–7,000 troops]
-
A.
BritishForcesType
Indicates that an entity is classified as a type or category within the British armed forces.
-
B.
strengthBritishForces
chosen
Indicates the numerical size or combat capacity of British military forces in a given context or operation.
-
C.
strength_British_side
Indicates the level or measure of military or strategic power possessed by the British side in a given context.
-
D.
troopStrengthAlliedApprox
Indicates that the approximate troop strength of one entity is being assessed or reported in relation to its allied forces.
-
E.
fleetStrengthEnglish
Indicates the relative military or naval power level associated with a fleet, expressed or categorized in English terms.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.