Triple

T2220304
Position Surface form Disambiguated ID Type / Status
Subject Nezahualcóyotl E48124 entity
Predicate borders P224 FINISHED
Object Chimalhuacán E237017 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: Chimalhuacán | Statement: [Nezahualcóyotl, borders, Chimalhuacán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chimalhuacán
Context triple: [Nezahualcóyotl, borders, Chimalhuacán]
  • A. Chimalhuacán chosen
    Chimalhuacán is a densely populated urban municipality in the eastern part of the State of Mexico, forming part of the Mexico City metropolitan area.
  • B. Ocoyoacac
    Ocoyoacac is a municipality in the State of Mexico located on the western edge of the Valley of Mexico, known for its forests, mountainous terrain, and proximity to Mexico City.
  • C. Apatzingán
    Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
  • D. Huixquilucan
    Huixquilucan is a municipality in the State of Mexico that forms part of the Mexico City metropolitan area and is known for its rapidly growing residential and commercial zones.
  • E. San Juan Ixtayopan
    San Juan Ixtayopan is a town within the Tláhuac borough of Mexico City, known for its traditional rural character and local festivities.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc01386588190a9507f2969a201ca completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8941dbc88190b8c2b8afd135a3d1 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:46 p.m.