Triple

T20501985
Position Surface form Disambiguated ID Type / Status
Subject State of Morelos E503327 entity
Predicate containsCity P294 FINISHED
Object Temixco 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: Temixco | Statement: [State of Morelos, containsCity, Temixco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temixco
Context triple: [State of Morelos, containsCity, Temixco]
  • A. Temixco chosen
    Temixco is a municipality in the Mexican state of Morelos known for its warm climate, residential areas, and proximity to the city of Cuernavaca.
  • B. Ocuituco
    Ocuituco is a small town in the Mexican state of Morelos known for its colonial-era church and traditional rural character.
  • C. Anenecuilco
    Anenecuilco is a town in the Mexican state of Morelos, best known as the birthplace of revolutionary leader Emiliano Zapata.
  • D. Ayotlán
    Ayotlán is a municipality and town in the Los Altos region of the Mexican state of Jalisco, known for its agricultural traditions and regional culture.
  • E. Poncitlán
    Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc272a481909329ecd1560989ef completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:35 a.m.