Triple

T24258708
Position Surface form Disambiguated ID Type / Status
Subject Civil Code of 2002 E604642 entity
Predicate lawNumber P1117 FINISHED
Object Law No. 10.406 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: Law No. 10.406 | Statement: [Civil Code of 2002, lawNumber, Law No. 10.406]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lawNumber
Context triple: [Civil Code of 2002, lawNumber, Law No. 10.406]
  • A. publicLawNumber chosen
    Indicates the specific public law identifier associated with a legislative act or statute.
  • B. legalCodePromulgatedBy
    Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
  • C. numberOfLaws
    Indicates the quantitative count of laws associated with a given entity or context.
  • D. nationalLegislation
    Indicates that an entity is a law or legal measure enacted at the national level by a country’s central legislative authority.
  • E. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • 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_69e29544c29c8190b023606eafe5d36a completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28c64b87c81908b2966b51d01c4ad completed April 29, 2026, 10:55 p.m.
PD Predicate disambiguation batch_69f1c450aa508190bc9d372a5f6ee47a completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:06 a.m.