Triple

T34045340
Position Surface form Disambiguated ID Type / Status
Subject Tribunales Colegiados de Circuito en Materia Civil y Familiar E873071 entity
Predicate tipoDeAsunto P450 FINISHED
Object recursos de apelación en materia civil 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: recursos de apelación en materia civil | Statement: [Tribunales Colegiados de Circuito en Materia Civil y Familiar, tipoDeAsunto, recursos de apelación en materia civil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tipoDeAsunto
Context triple: [Tribunales Colegiados de Circuito en Materia Civil y Familiar, tipoDeAsunto, recursos de apelación en materia civil]
  • A. subjectType
    Indicates the classification or category that defines what kind of entity the subject is.
  • B. subjectOfEvent
    Indicates that an entity participates in or is involved in a particular event as one of its primary actors or focal points.
  • C. subjectMatter chosen
    Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
  • D. titleSubjectOf
    Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
  • E. subjectOfMessages
    Indicates that an entity is the main topic or focus about which the messages are written or communicated.
  • 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_69f71fb1ab3881908e2f7c0e6f23db49 completed May 3, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f71cc6397881909aaad37a9daa8a7e completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 1:51 a.m.