Triple

T22914139
Position Surface form Disambiguated ID Type / Status
Subject Battle of Celaya E568681 entity
Predicate hasOpponentRole P36358 FINISHED
Object Pancho Villa’s forces as defeated side 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: Pancho Villa’s forces as defeated side | Statement: [Battle of Celaya, hasOpponentRole, Pancho Villa’s forces as defeated side]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpponentRole
Context triple: [Battle of Celaya, hasOpponentRole, Pancho Villa’s forces as defeated side]
  • A. hasOpposingSide chosen
    Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
  • B. hasOpposingAgent
    Indicates that an entity is opposed or counteracted by another agent in a given context or interaction.
  • C. hasOpponentsView
    Indicates that one entity holds, represents, or expresses the viewpoint or perspective of an opposing side in a conflict, debate, or competition.
  • D. hasOpponentAction
    Indicates that one entity performs an action that is in opposition or direct competition to the action of another entity.
  • E. hasOpposingAlliance
    Indicates that two entities belong to alliances or factions that are in direct opposition or conflict with each other.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18078077881908b8124cc22110c6e completed April 29, 2026, 3:52 a.m.
PD Predicate disambiguation batch_69ef3b7c5fc081909ac50c5c8569cc19 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:42 p.m.