Triple

T25349558
Position Surface form Disambiguated ID Type / Status
Subject Basilio E635645 entity
Predicate marriageSceneLocation P71883 FINISHED
Object village of Quiteria and Camacho 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: village of Quiteria and Camacho | Statement: [Basilio, marriageSceneLocation, village of Quiteria and Camacho]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageSceneLocation
Context triple: [Basilio, marriageSceneLocation, village of Quiteria and Camacho]
  • A. marriageLocation
    Indicates the place where a marriage ceremony or legal union between two people took place.
  • B. betrothalOrMarriagePlace chosen
    Indicates the location where a betrothal or marriage event takes place.
  • C. marriageContext
    Indicates the situational or cultural circumstances under which a marriage occurs or exists, such as legal, social, or religious conditions surrounding the marital relationship.
  • D. marriageTerritory
    Indicates that a marriage is legally or socially recognized within a specific geographic or jurisdictional territory.
  • E. marriageResolvedBy
    Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
  • 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_69e75a9ac5d881909387ed766e20cd47 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 21, 2026, 1:34 p.m.