Triple

T23240641
Position Surface form Disambiguated ID Type / Status
Subject Universidad Autónoma del Estado de Hidalgo E581431 entity
Predicate hasCampus P116 FINISHED
Object Metztitlán NE NERFINISHED

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: Metztitlán | Statement: [Universidad Autónoma del Estado de Hidalgo, hasCampus, Metztitlán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metztitlán
Context triple: [Universidad Autónoma del Estado de Hidalgo, hasCampus, Metztitlán]
  • A. Metztitlán chosen
    Metztitlán is a town and municipality in the state of Hidalgo, Mexico, known for its dramatic canyon landscapes, rich biodiversity, and the nearby Metztitlán Biosphere Reserve.
  • B. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • C. Tecolutla
    Tecolutla is a coastal municipality and town in the Mexican state of Veracruz, known for its beaches, fishing, and tropical riverine landscapes.
  • D. Chiquilistlán
    Chiquilistlán is a rural municipality in the state of Jalisco, Mexico, known for its mountainous landscapes, traditional agriculture, and small-town cultural heritage.
  • E. Zapotitlán
    Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192edd974819093a57456e7b12a03 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.