Triple

T36746705
Position Surface form Disambiguated ID Type / Status
Subject White Bird Fight E907784 entity
Predicate hasPrimaryOpposingSides P36358 FINISHED
Object Nez Perce vs United States Army E50124 NE 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: Nez Perce vs United States Army | Statement: [White Bird Fight, hasPrimaryOpposingSides, Nez Perce vs United States Army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryOpposingSides
Context triple: [White Bird Fight, hasPrimaryOpposingSides, Nez Perce vs United States Army]
  • 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. hasOpposingFront
    Indicates that one entity’s front side is directly facing or oriented opposite to the front side of another entity.
  • C. hasOpposingAgent
    Indicates that an entity is opposed or counteracted by another agent in a given context or interaction.
  • D. hasOpposingAlliance
    Indicates that two entities belong to alliances or factions that are in direct opposition or conflict with each other.
  • E. hasOpposingForceType
    Indicates that one force is characterized as being of a type that opposes or counteracts another force.
  • F. None of above.

Provenance (4 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_69f76e76d10881909ec1679bc043108c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e1610bdd081909af6c5352fab5068 completed June 26, 2026, 6:02 a.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:12 p.m.