Triple

T27524064
Position Surface form Disambiguated ID Type / Status
Subject Japan–South Korea E694786 entity
Predicate hasDisputeResolutionChannel P6659 FINISHED
Object bilateral talks 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: bilateral talks | Statement: [Japan–South Korea, hasDisputeResolutionChannel, bilateral talks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDisputeResolutionChannel
Context triple: [Japan–South Korea, hasDisputeResolutionChannel, bilateral talks]
  • A. hasDisputeResolutionBody
    Indicates that there exists a designated body or authority responsible for resolving disputes related to the associated entity or relationship.
  • B. hasDisputeRegime
    Indicates that there exists a specific dispute-handling framework, system, or set of rules governing how disputes related to the subject are managed or resolved.
  • C. hasDisputeWith
    Indicates that there is a conflict, disagreement, or contested issue between two entities.
  • D. disputeResolvedBy
    Indicates that a particular dispute or conflict has been settled or resolved through the actions, decision, or intervention of a specified party or process.
  • E. methodOfDisputeResolution chosen
    Indicates the process or mechanism used to settle a disagreement or conflict between parties.
  • 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_69ef538550208190aa9de8e2cb260d93 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: April 27, 2026, 1:22 p.m.