Triple

T2600541
Position Surface form Disambiguated ID Type / Status
Subject Battle of Buena Vista E58331 entity
Predicate strengthUnitedStates P11878 FINISHED
Object about 4,500 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: about 4,500 troops | Statement: [Battle of Buena Vista, strengthUnitedStates, about 4,500 troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strengthUnitedStates
Context triple: [Battle of Buena Vista, strengthUnitedStates, about 4,500 troops]
  • A. allyOfUnitedStates
    Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
  • B. warTimeStrengthApprox chosen
    Indicates an approximate measure of an entity’s military strength or capacity during a time of war.
  • C. USForces
    Indicates the presence, involvement, or deployment of United States military forces in relation to a specified location, event, or entity.
  • D. majorPowerIn
    Indicates that an entity holds significant political, economic, or military influence within a specified domain, region, or context.
  • E. warPower
    Indicates the authority, capability, or legal power to initiate, conduct, or manage acts of war or armed 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd457564c819080d8c8818c02545a completed March 7, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69abd0d4e8648190b612eb09aa085451 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.