Triple

T32430137
Position Surface form Disambiguated ID Type / Status
Subject Battle of Aslanduz E828696 entity
Predicate opposingForceSizeRelation P119661 FINISHED
Object Russian forces defeated a much larger Persian army 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: Russian forces defeated a much larger Persian army | Statement: [Battle of Aslanduz, opposingForceSizeRelation, Russian forces defeated a much larger Persian army]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposingForceSizeRelation
Context triple: [Battle of Aslanduz, opposingForceSizeRelation, Russian forces defeated a much larger Persian army]
  • A. primaryOpposingForceSize chosen
    Indicates the size or magnitude of the main opposing force acting against a subject in a given context.
  • B. opposingForce
    Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
  • C. opposingForceDescription
    Indicates a description of a force that acts in opposition to another force or influence within a given context.
  • D. opposingForcesStatus
    Indicates the current state or condition of two or more forces that are in conflict or opposition to each other.
  • E. hasApproximateDefendingForceSize
    Indicates that an entity is associated with a defending force whose size is known only approximately rather than as an exact value.
  • 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_69f3491b28bc8190b75cea7a507f337b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fccdd496048190bca801a8a9eecb62 completed May 7, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
Created at: May 1, 2026, 12:54 a.m.