Triple

T2158489
Position Surface form Disambiguated ID Type / Status
Subject Chorzów Factory case E47946 entity
Predicate hasLegalField P28364 FINISHED
Object public international law 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: public international law | Statement: [Chorzów Factory case, hasLegalField, public international law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalField
Context triple: [Chorzów Factory case, hasLegalField, public international law]
  • A. hasLegalSubject
    Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
  • B. hasLegalRight
    Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
  • C. hasLegalFunction
    Indicates that an entity performs, fulfills, or is assigned a specific legal role, duty, or function within a legal or regulatory context.
  • D. hasLegalStatus
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • E. hasJurisprudenceField chosen
    Indicates that an entity’s work, expertise, or classification pertains to a specific field or branch of jurisprudence (legal theory or law).
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe6a412c8190ae632282650739d9 completed March 7, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69abbd9c90408190b6b65498ca43ce26 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.