Triple

T34045363
Position Surface form Disambiguated ID Type / Status
Subject Tribunales Colegiados de Circuito en Materia Civil y Familiar E873071 entity
Predicate tienenSede P160528 FINISHED
Object diversas ciudades de la República Mexicana 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: diversas ciudades de la República Mexicana | Statement: [Tribunales Colegiados de Circuito en Materia Civil y Familiar, tienenSede, diversas ciudades de la República Mexicana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tienenSede
Context triple: [Tribunales Colegiados de Circuito en Materia Civil y Familiar, tienenSede, diversas ciudades de la República Mexicana]
  • A. tieneSedePrincipal
    Indicates that an entity has its main headquarters or principal office located in a specified place.
  • B. mayHaveBranchOfficesIn
    Indicates that an entity is permitted or allowed to establish branch offices in a specified location.
  • C. areLocatedAt chosen
    Indicates that one or more entities occupy or exist at a specific location or place.
  • D. hasBaseOfOperations
    Indicates that an entity uses a particular location as its primary place of operation or activity.
  • E. hasHeadquartersRoleFor
    Indicates that an entity holds a specific role or position within the headquarters of another entity.
  • 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_69f349a3363081909cea4c9a848cefe2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70fb4f18c819099ef6d9177b7d205 completed May 3, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69f70f3a54d481909ba6bdda3647b761 completed May 3, 2026, 9:02 a.m.
Created at: May 1, 2026, 1:51 a.m.