Triple

T2201730
Position Surface form Disambiguated ID Type / Status
Subject Universidad de las Américas Puebla E50503 entity
Predicate locatedIn P40 FINISHED
Object Cholula E50501 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: Cholula | Statement: [Universidad de las Américas Puebla, locatedIn, Cholula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cholula
Context triple: [Universidad de las Américas Puebla, locatedIn, Cholula]
  • A. Cholula chosen
    Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
  • B. Topolobampo
    Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
  • C. Tejipió
    Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
  • D. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • E. Chimalistac
    Chimalistac is a historic, picturesque neighborhood in southern Mexico City known for its cobblestone streets, colonial-era chapels, and tranquil, tree-lined plazas.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa1b41c8190b0f7467d0dcdfbcd completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af5dc2081909d69641ca3bc65ea completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:46 p.m.