Triple

T783770
Position Surface form Disambiguated ID Type / Status
Subject Dicastery for Legislative Texts E16555 entity
Predicate typeOfLawInterpreted P6527 FINISHED
Object universal canon 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: universal canon law | Statement: [Dicastery for Legislative Texts, typeOfLawInterpreted, universal canon law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLawInterpreted
Context triple: [Dicastery for Legislative Texts, typeOfLawInterpreted, universal canon law]
  • A. typeOfLaw chosen
    Indicates that one entity is a specific category or kind of law to which the other entity pertains.
  • B. statuteInterpreted
    Indicates that a legal authority (such as a court or agency) has provided an interpretation or authoritative reading of a particular statute.
  • C. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • D. branchOfLaw
    Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
  • E. legalConcept
    Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a769dc6481908f12e872f997acf3 completed March 1, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69a4a50db97c8190a1c55673f4a357b4 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.