Triple

T7094607
Position Surface form Disambiguated ID Type / Status
Subject University Stadium (football) E165290 entity
Predicate city P40 FINISHED
Object Albuquerque E37142 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: Albuquerque | Statement: [University Stadium (football), city, Albuquerque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albuquerque
Context triple: [University Stadium (football), city, Albuquerque]
  • A. Albuquerque chosen
    Albuquerque is the largest city in New Mexico, known for its high desert landscape, multicultural heritage, and institutions like the University of New Mexico.
  • B. Las Cruces, New Mexico
    Las Cruces, New Mexico is a city in southern New Mexico known as a regional hub for education, agriculture, and technology, and as the home of New Mexico State University.
  • C. Santa Fe, New Mexico
    Santa Fe, New Mexico is the capital city of New Mexico, renowned for its Pueblo-style architecture, vibrant arts scene, and rich blend of Native American, Hispanic, and Anglo cultures.
  • D. Santa Fe
    Santa Fe is a historic Argentine city and provincial capital known for its colonial heritage and strategic location on the Paraná River.
  • E. Santa Fe
    Santa Fe was a major American railroad company that played a key role in the development and transportation infrastructure of the western United States.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5530f2081908ac969ddfa7e9b5a completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbc74dac8190993f613d8219fa8d completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:41 p.m.