Triple

T30654675
Position Surface form Disambiguated ID Type / Status
Subject Ley del Matrimonio Civil E780352 entity
Predicate contexto político P24043 FINISHED
Object Reforma liberal en México 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: Reforma liberal en México | Statement: [Ley del Matrimonio Civil, contexto político, Reforma liberal en México]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contexto político
Context triple: [Ley del Matrimonio Civil, contexto político, Reforma liberal en México]
  • A. involvedPoliticalContext chosen
    Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
  • B. namedForPoliticalContext
    Indicates that something is named in reference to a specific political situation, event, ideology, or figure.
  • C. politicallyIn
    Indicates that one entity is located within, belongs to, or falls under the political jurisdiction or authority of another entity.
  • D. setorPolítico
    Indicates a relationship in which an entity belongs to, is associated with, or operates within a particular political sector or sphere.
  • E. policyContext
    Indicates the situational or regulatory framework within which a policy is defined, interpreted, or applied.
  • 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_69f224a5d2b481908a6853cd0138e2d7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: April 29, 2026, 8:30 p.m.