Triple

T1767941
Position Surface form Disambiguated ID Type / Status
Subject Article 53 of the Constitution of Japan E38806 entity
Predicate sourceOfLawType P6527 FINISHED
Object primary legislation 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: primary legislation | Statement: [Article 53 of the Constitution of Japan, sourceOfLawType, primary legislation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sourceOfLawType
Context triple: [Article 53 of the Constitution of Japan, sourceOfLawType, primary legislation]
  • A. typeOfLaw chosen
    Indicates that one entity is a specific category or kind of law to which the other entity pertains.
  • B. legalCodeType
    Indicates the specific category or classification of a legal code that applies to an entity or situation.
  • C. legalCitationType
    Indicates the specific kind or category of legal citation that characterizes the relationship between the citing and cited legal sources.
  • D. branchOfLaw
    Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
  • E. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab39fc2c448190bfaf1ee8d474632a completed March 6, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69aa61cbb1288190a7ba38b61905f578 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.