Triple

T2262821
Position Surface form Disambiguated ID Type / Status
Subject TAR Aerolíneas E50075 entity
Predicate focusCity P164 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: [TAR Aerolíneas, focusCity, Toluca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toluca
Context triple: [TAR Aerolíneas, focusCity, 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. 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).
  • C. 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.
  • D. San Luis Potosí City
    San Luis Potosí City is the capital of the Mexican state of San Luis Potosí, known for its colonial architecture, mining history, and role as a cultural and economic center in north-central Mexico.
  • E. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18be8308190abc4a59d37dfd93a completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3544c5fcc8190b2d8d61449dfffb3 completed March 13, 2026, 12:03 a.m.
Created at: March 4, 2026, 7:48 p.m.