Triple

T30654674
Position Surface form Disambiguated ID Type / Status
Subject Ley del Matrimonio Civil E780352 entity
Predicate contexto histórico P43371 FINISHED
Object siglo XIX 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: siglo XIX en México | Statement: [Ley del Matrimonio Civil, contexto histórico, siglo XIX en México]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contexto histórico
Context triple: [Ley del Matrimonio Civil, contexto histórico, siglo XIX en México]
  • A. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • B. historical
    Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
  • C. historicalBackground chosen
    Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
  • D. shareHistoricalContextAs
    Indicates that two or more entities are associated with or understood within the same historical background, period, or circumstances.
  • E. historicalCondition
    Indicates that one entity represents a condition, state, or circumstance that applied to another entity at some point in the past.
  • 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_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 29, 2026, 8:30 p.m.