Triple

T9893593
Position Surface form Disambiguated ID Type / Status
Subject Minister in charge of the Abduction Issue of Japan E181513 entity
Predicate usesPolicyTool P1652 FINISHED
Object diplomatic negotiations with North Korea 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: diplomatic negotiations with North Korea | Statement: [Minister in charge of the Abduction Issue of Japan, usesPolicyTool, diplomatic negotiations with North Korea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPolicyTool
Context triple: [Minister in charge of the Abduction Issue of Japan, usesPolicyTool, diplomatic negotiations with North Korea]
  • A. usesPolicyModel
    Indicates that one entity applies, relies on, or operates according to a particular policy model.
  • B. analyzesPolicyTool
    Indicates that one entity examines, evaluates, or studies a policy-related tool or instrument to understand its features, effectiveness, or implications.
  • C. policyTool chosen
    Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
  • D. usesPolicyRate
    Indicates that one entity applies or bases its actions or decisions on a specified policy interest rate.
  • E. usesMaterialsPolicy
    Indicates that an entity follows, applies, or is governed by a specified policy regarding the use of materials.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb48271d48190b718c7f6b2fe315b completed April 2, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69cd1d872d50819096b7ab166a8decf1 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:39 p.m.