Triple

T21060194
Position Surface form Disambiguated ID Type / Status
Subject inter-Korean conflict E518828 entity
Predicate legalStatusOfKoreanWar P4701 FINISHED
Object armistice without peace treaty 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: armistice without peace treaty | Statement: [inter-Korean conflict, legalStatusOfKoreanWar, armistice without peace treaty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusOfKoreanWar
Context triple: [inter-Korean conflict, legalStatusOfKoreanWar, armistice without peace treaty]
  • A. legalStatusAfterWar chosen
    Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
  • B. roleInKoreanWar
    Indicates the specific function, position, or involvement an entity had during the Korean War.
  • C. warStatus
    Indicates the state or condition of conflict or war that exists between entities at a given time.
  • D. status1949Armistice
    Indicates that a relationship or situation is governed by the terms and conditions of the 1949 Armistice agreements.
  • E. legalStatusOfKoreaDuringTenure
    Indicates the legal or political status of Korea during the period of a specified person’s tenure in an office or role.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd842e8881909f4ffc4c43b7fa9f completed April 21, 2026, 4:31 a.m.
PD Predicate disambiguation batch_69e5dbf9d71881908cd85dfc37db93ca completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:37 p.m.