Triple

T3733783
Position Surface form Disambiguated ID Type / Status
Subject Governor of Veracruz E79129 entity
Predicate seatOfGovernment P761 FINISHED
Object Xalapa-Enríquez E80059 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: Xalapa-Enríquez | Statement: [Governor of Veracruz, seatOfGovernment, Xalapa-Enríquez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xalapa-Enríquez
Context triple: [Governor of Veracruz, seatOfGovernment, Xalapa-Enríquez]
  • A. Xalapa chosen
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • B. Zamora de Hidalgo
    Zamora de Hidalgo is a historic city in the Mexican state of Michoacán, known for its agricultural production and notable religious architecture, including one of the tallest cathedrals in Mexico.
  • C. Villacarrillo
    Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
  • D. Atlixco
    Atlixco is a historic city in the Mexican state of Puebla, known for its vibrant crafts tradition, flower production, and colonial architecture.
  • E. Apodaca
    Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb2457f08190a6b94e9895fced2c completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e45050819088f51d8161b31abb completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:34 p.m.