Triple
T2076457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Bataan |
E44934
|
entity |
| Predicate | alliedForcesStrength |
P690
|
FINISHED |
| Object | approximately 75,000 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 75,000 troops | Statement: [Battle of Bataan, alliedForcesStrength, approximately 75,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alliedForcesStrength Context triple: [Battle of Bataan, alliedForcesStrength, approximately 75,000 troops]
-
A.
troopStrengthAlliedApprox
chosen
Indicates that the approximate troop strength of one entity is being assessed or reported in relation to its allied forces.
-
B.
alliedForcesComposition
Indicates the makeup and relative proportions of different military or paramilitary groups that are joined together as allied forces in a given context.
-
C.
mainAlliedPower
Indicates that an entity serves as a primary or leading ally to another entity within an alliance or coalition.
-
D.
alliedUnit
Indicates that one unit is associated as an ally or cooperative partner with another unit, typically sharing goals or working together.
-
E.
warTimeStrengthApprox
Indicates an approximate measure of an entity’s military strength or capacity during a time of war.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba127dcc81909c2365d455eeb746 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.