Triple

T105743
Position Surface form Disambiguated ID Type / Status
Subject East China Sea E2132 entity
Predicate hasDispute P2693 FINISHED
Object maritime boundary disputes between China and Japan 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: maritime boundary disputes between China and Japan | Statement: [East China Sea, hasDispute, maritime boundary disputes between China and Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDispute
Context triple: [East China Sea, hasDispute, maritime boundary disputes between China and Japan]
  • A. hasDisputeHistory
    Indicates that there has been at least one prior dispute or conflict involving the related entities.
  • B. statusDisputedBy
    Indicates that the validity, accuracy, or recognition of a status is being challenged or contested by a specified party.
  • C. disputePolicy
    Indicates that there is a formal disagreement or conflict regarding a policy, typically triggering procedures for review, negotiation, or resolution.
  • D. contestedBy chosen
    Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
  • E. endedConflict
    Indicates that a previously ongoing conflict between entities has been brought to an end.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563d33788190999d471b486d5603 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.