Triple

T7709464
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Tenango E174710 entity
Predicate state P87 FINISHED
Object Hidalgo E31143 NE 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: Hidalgo | Statement: [Sierra de Tenango, state, Hidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hidalgo
Context triple: [Sierra de Tenango, state, Hidalgo]
  • A. Hidalgo chosen
    Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
  • B. Hidalgo
    Hidalgo is a major Mexico City Metro station that serves as an important transfer point between multiple lines in the city’s rapid transit system.
  • C. Hidalgo
    Hidalgo is a 2004 adventure Western film starring Viggo Mortensen as a long-distance rider competing in a grueling desert horse race.
  • D. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • E. Vera Cruz
    Vera Cruz is a 1954 American Western film directed by Robert Aldrich, noted for its cynical tone, antihero characters, and influence on the later Spaghetti Western genre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ac0060819084f9c0242a5ffa9a completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b505c7f88190ac058c1a27d758ca completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.