Triple

T3733713
Position Surface form Disambiguated ID Type / Status
Subject Congress of Veracruz E79128 entity
Predicate seat P75 FINISHED
Object Xalapa 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 | Statement: [Congress of Veracruz, seat, Xalapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xalapa
Context triple: [Congress of Veracruz, seat, Xalapa]
  • A. Xalapa chosen
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • 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. Chilpancingo
    Chilpancingo is a Mexico City Metro station on Line 9 located in the central area of the city, serving neighborhoods such as Colonia Condesa and Roma.
  • D. Chilpancingo
    Chilpancingo is a city in southern Mexico that serves as the capital of the state of Guerrero and played a key role in the country’s independence movement.
  • E. Toluca
    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.
  • 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_69befe3ba3848190bcd62dd21229ca67 completed March 21, 2026, 8:23 p.m.
Created at: March 8, 2026, 3:34 p.m.