Triple

T3372991
Position Surface form Disambiguated ID Type / Status
Subject Estado de México E70997 entity
Predicate capital P234 FINISHED
Object Toluca de Lerdo 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 de Lerdo | Statement: [Estado de México, capital, Toluca de Lerdo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toluca de Lerdo
Context triple: [Estado de México, capital, Toluca de Lerdo]
  • 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. Tlaxcala City
    Tlaxcala City is the small colonial-era capital of the state of Tlaxcala in central Mexico, known for its historic architecture and role in early Spanish-Indigenous encounters.
  • C. Naucalpan de Juárez
    Naucalpan de Juárez is a large industrial and residential city in the State of Mexico that forms part of the Mexico City metropolitan area.
  • D. 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).
  • E. Atlixco
    Atlixco is a historic city in the Mexican state of Puebla, known for its vibrant crafts tradition, flower production, and colonial architecture.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c2aefc08190931de470b930ce34 completed March 21, 2026, 1:24 p.m.
Created at: March 8, 2026, 3:13 p.m.