Triple

T2735544
Position Surface form Disambiguated ID Type / Status
Subject Michoacán E60621 entity
Predicate hasMajorCity P316 FINISHED
Object Apatzingán E250418 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: Apatzingán | Statement: [Michoacán, hasMajorCity, Apatzingán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apatzingán
Context triple: [Michoacán, hasMajorCity, Apatzingán]
  • A. Apatzingán chosen
    Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
  • B. Ocotlán
    Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
  • C. Tultitlán
    Tultitlán is a municipality in the State of Mexico within the Greater Mexico City metropolitan area, known for its dense urban development and industrial activity.
  • D. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • E. Chimalhuacán
    Chimalhuacán is a densely populated urban municipality in the eastern part of the State of Mexico, forming part of the Mexico City metropolitan area.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb1022488190af84e536946b2e37 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08633e4108190a783b29a10efcc76 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 9:56 p.m.