Triple

T15733432
Position Surface form Disambiguated ID Type / Status
Subject Rocky Mountain region E381401 entity
Predicate hasCity P316 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: [Rocky Mountain region, hasCity, Albuquerque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albuquerque
Context triple: [Rocky Mountain region, hasCity, 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 small coastal municipality in the island province of Romblon in the Philippines, known for its rural communities and surrounding marine scenery.
  • E. Santa Fe
    Santa Fe is a major modern business and financial district in western Mexico City known for its corporate offices, upscale shopping centers, and contemporary high-rise architecture.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.