Triple

T16198306
Position Surface form Disambiguated ID Type / Status
Subject Metepec E393125 entity
Predicate near P350 FINISHED
Object Toluca E141323 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: Toluca | Statement: [Metepec, near, Toluca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toluca
Context triple: [Metepec, near, Toluca]
  • A. Toluca chosen
    Toluca is a major city and the capital of the State of Mexico, known for its high altitude, industrial activity, and proximity to the Nevado de Toluca volcano.
  • B. Zacatepec
    Zacatepec is a Mexican professional football club historically known for competing in the country's top divisions and developing notable players.
  • C. Toluca metropolitan area
    The Toluca metropolitan area is a major urban and industrial region in central Mexico centered on the city of Toluca, serving as an important economic and transportation hub west of Mexico City.
  • D. Chicoloapan
    Chicoloapan is a municipality and growing suburban city in the State of Mexico, located in the eastern part of the Mexico City metropolitan area.
  • E. Celaya
    Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dc6b1c8190a3d8a6451ed8b95a completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0075856f1881908548579b241e8009 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:03 a.m.