Triple

T3762090
Position Surface form Disambiguated ID Type / Status
Subject Albuquerque Rapid Transit E82184 entity
Predicate cityServed P82 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: [Albuquerque Rapid Transit, cityServed, Albuquerque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albuquerque
Context triple: [Albuquerque Rapid Transit, cityServed, 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 is a coastal municipality on Bantayan Island in Cebu, Philippines, known for its white-sand beaches and laid-back island atmosphere.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfa44ac819082f2c895d96c9170 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f58290881908c7622616a829c75 completed March 20, 2026, 5:09 p.m.
Created at: March 8, 2026, 3:35 p.m.