Triple

T34808465
Position Surface form Disambiguated ID Type / Status
Subject Russian Maritime Province E1003431 entity
Predicate politicalStatusDuringCivilWar P19322 FINISHED
Object contested region 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: contested region | Statement: [Russian Maritime Province, politicalStatusDuringCivilWar, contested region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalStatusDuringCivilWar
Context triple: [Russian Maritime Province, politicalStatusDuringCivilWar, contested region]
  • A. controlledByDuringCivilWar
    Indicates that one party exercised control or authority over another specifically during a civil war period.
  • B. legalStatusAfterWar
    Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
  • C. statusDuringWar chosen
    Indicates the role, condition, or classification an entity held specifically during a period of war.
  • D. statusByEndOfWar
    Indicates the condition or standing of an entity as it exists at the conclusion of a specified war.
  • E. stateDuringWar
    Indicates that a state or condition exists specifically in the context of, or for the duration of, a 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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fe9dfaa2d08190b2084f63f842eb6b completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fe9bba947c81908b0b2b92a4d19b37 completed May 9, 2026, 2:28 a.m.
Created at: May 3, 2026, 3:59 p.m.