Triple

T20249365
Position Surface form Disambiguated ID Type / Status
Subject Coapa area E498508 entity
Predicate contains P35 FINISHED
Object Rinconada Coapa 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: Rinconada Coapa | Statement: [Coapa area, contains, Rinconada Coapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rinconada Coapa
Context triple: [Coapa area, contains, Rinconada Coapa]
  • A. Tlatlauquitepec
    Tlatlauquitepec is a picturesque town and municipality in the Sierra Norte region of Puebla, Mexico, known for its mountainous landscapes, colonial architecture, and ecotourism activities.
  • B. Zacahuitzco
    Zacahuitzco is a neighborhood located within the Benito Juárez borough of Mexico City.
  • C. Poncitlán
    Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
  • D. Colonia Rinconada Coapa chosen
    Colonia Rinconada Coapa is a residential neighborhood located within the Tlalpan borough in southern Mexico City.
  • E. Coyuca de Benítez
    Coyuca de Benítez is a coastal city and municipality in the Mexican state of Guerrero, known for its beaches, lagoon, and proximity to the resort city of Acapulco.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a699b48190a2073a3bd8851125 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.