Triple

T22968890
Position Surface form Disambiguated ID Type / Status
Subject Chiwei Yu E571123 entity
Predicate hasLegalClaimBasis P121916 FINISHED
Object historical usage (China/Taiwan claim) 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: historical usage (China/Taiwan claim) | Statement: [Chiwei Yu, hasLegalClaimBasis, historical usage (China/Taiwan claim)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalClaimBasis
Context triple: [Chiwei Yu, hasLegalClaimBasis, historical usage (China/Taiwan claim)]
  • A. hasLegalRight
    Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
  • B. hasLegalIssue
    Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
  • C. hasLegalSubject
    Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
  • D. hasLegalResponse
    Indicates that an entity has an associated legal reply, action, or measure taken in response to a legal situation, claim, or requirement.
  • E. legalStandingBasis chosen
    Indicates the legal grounds or justification on which a party’s standing or authority in a legal matter is based.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18231459881909dd25a0630c494d8 completed April 29, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69ef3b9101f48190a06c69dff26c6441 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:48 p.m.