Triple

T27282695
Position Surface form Disambiguated ID Type / Status
Subject Yemenite War of 1979 E688380 entity
Predicate hadUnderlyingCause P58678 FINISHED
Object ideological rivalry between republican North Yemen and Marxist South Yemen 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: ideological rivalry between republican North Yemen and Marxist South Yemen | Statement: [Yemenite War of 1979, hadUnderlyingCause, ideological rivalry between republican North Yemen and Marxist South Yemen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadUnderlyingCause
Context triple: [Yemenite War of 1979, hadUnderlyingCause, ideological rivalry between republican North Yemen and Marxist South Yemen]
  • A. hadCondition
    Indicates that an entity experienced or was diagnosed with a particular medical or health-related condition.
  • B. underlyingIssue
    Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
  • C. hasEtiology chosen
    Indicates that one entity is the cause, origin, or underlying reason for the occurrence or existence of another entity or condition.
  • D. eligibleCause
    Indicates that one entity qualifies as a valid or acceptable cause or reason for another entity or outcome.
  • E. causeStatus
    Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
  • 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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6275281288190baf993960cf87fac completed May 2, 2026, 4:33 p.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 11:09 a.m.