Triple

T12636526
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, Setsunan University E301776 entity
Predicate jurisdictionOfLawTaught P6190 FINISHED
Object Japanese 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: Japanese law | Statement: [Faculty of Law, Setsunan University, jurisdictionOfLawTaught, Japanese law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: jurisdictionOfLawTaught
Context triple: [Faculty of Law, Setsunan University, jurisdictionOfLawTaught, Japanese law]
  • A. schoolOfJurisprudence
    Indicates that one entity is a legal philosophy, doctrine, or interpretive framework to which the other entity (such as a jurist, decision, or institution) adheres or belongs.
  • B. legalTraditionsTaught
    Indicates that one entity teaches, covers, or includes specific legal traditions in its instruction or curriculum.
  • C. studiedLawIn
    Indicates that a person received legal education or training at a particular institution or location.
  • D. legalJurisdiction chosen
    Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
  • E. titleJurisdiction
    Indicates the legal or official authority under which a title is recognized, governed, or issued.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960b47130819097e1162ed4fc993a completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:16 p.m.