Triple

T7159415
Position Surface form Disambiguated ID Type / Status
Subject Assembly of the Union E166899 entity
Predicate countryUsesLegalSystem P16986 FINISHED
Object civil law influenced system 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: civil law influenced system | Statement: [Assembly of the Union, countryUsesLegalSystem, civil law influenced system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryUsesLegalSystem
Context triple: [Assembly of the Union, countryUsesLegalSystem, civil law influenced system]
  • A. 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.
  • B. relatedLegalSystem chosen
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • C. separateLegalSystem
    Indicates that one entity maintains its own distinct and independent legal system from another entity.
  • D. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • E. partOfLegalSystem
    Indicates that something belongs to, is included within, or functions as a component of a particular legal system.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e811d6b081909dafeee1d820c74f completed March 27, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69c6e1cd5c948190a9113b23f7308c21 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:47 p.m.