Triple

T31047918
Position Surface form Disambiguated ID Type / Status
Subject Quebec law E791177 entity
Predicate hasMainCode P60019 FINISHED
Object Civil Code of Quebec NE NERFINISHED

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 Code of Quebec | Statement: [Quebec law, hasMainCode, Civil Code of Quebec]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainCode
Context triple: [Quebec law, hasMainCode, Civil Code of Quebec]
  • A. hasMainSource chosen
    Indicates that one entity serves as the primary or principal source or origin for another entity.
  • B. hasCodeIn
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • C. hasMainSymbol
    Indicates that one entity is designated as the primary or most representative symbol associated with another entity.
  • D. hasPrimaryCode
    Indicates that an entity is associated with its main or most important identifying code among potentially multiple codes.
  • E. hasMainArch
    Indicates that an entity possesses or features a primary or central arch structure.
  • 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_69f224ca2fa881908a3ac5fedf207b90 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fff4530f908190afe9387f732c2b7e completed May 10, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69fff3c01a64819091196875b0c88607 completed May 10, 2026, 2:56 a.m.
Created at: April 29, 2026, 9 p.m.