Triple

T20027172
Position Surface form Disambiguated ID Type / Status
Subject Chontales E495013 entity
Predicate hasUrbanCenters P11388 FINISHED
Object Acoyapa 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: Acoyapa | Statement: [Chontales, hasUrbanCenters, Acoyapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acoyapa
Context triple: [Chontales, hasUrbanCenters, Acoyapa]
  • A. Acoyapa chosen
    Acoyapa is a municipality and town in central Nicaragua, known for its agricultural economy and location within the Chontales Department.
  • B. Achiutla
    Achiutla is an important pre-Hispanic Mixtec archaeological and ceremonial center located in the Mixteca Alta region of Oaxaca, Mexico.
  • C. Chacampalco
    Chacampalco is a locality within the municipality of Jojutla in the Mexican state of Morelos.
  • D. Apatlaco
    Apatlaco is a Mexico City Metro station on Line 8 serving the Iztapalapa borough in the eastern part of the city.
  • E. Chignahuapan
    Chignahuapan is a picturesque town in the Mexican state of Puebla, renowned for its thermal springs, Christmas ornament production, and scenic mountainous surroundings.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628e1eec81908e4c9b2b0b68f0e4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.