Triple

T13714314
Position Surface form Disambiguated ID Type / Status
Subject Tepezalá E328853 entity
Predicate locatedIn P40 FINISHED
Object Aguascalientes E65507 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: Aguascalientes | Statement: [Tepezalá, locatedIn, Aguascalientes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aguascalientes
Context triple: [Tepezalá, locatedIn, Aguascalientes]
  • A. Aguascalientes chosen
    Aguascalientes is a centrally located Mexican state known for its industrial growth, colonial architecture, and the famous San Marcos Fair.
  • B. San Luis Potosí
    San Luis Potosí is a central Mexican state known for its diverse landscapes—from the arid high plateau to the lush Huasteca region—rich mining history, and colonial-era architecture.
  • C. Querétaro
    Querétaro is a central Mexican state known for its colonial-era capital city, growing industrial economy, and location at the junction of major mountain and plateau regions.
  • D. Puebla
    Puebla is a historic and culturally rich city in central Mexico, renowned for its colonial architecture, culinary traditions like mole poblano, and its role in the Battle of Puebla commemorated on Cinco de Mayo.
  • E. Puebla
    Puebla is a metro station on Mexico City’s rapid transit system, serving passengers along Line 9 in the eastern part of the city.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9009ce88190b77c8f02f38107e1 completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 9:54 p.m.