Triple

T19637616
Position Surface form Disambiguated ID Type / Status
Subject San Luis Valley Regional Airport E471440 entity
Predicate owner P347 FINISHED
Object City of Alamosa NE NERFINISHED

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: City of Alamosa | Statement: [San Luis Valley Regional Airport, owner, City of Alamosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Alamosa
Context triple: [San Luis Valley Regional Airport, owner, City of Alamosa]
  • A. Alamosa, Colorado chosen
    Alamosa, Colorado is a small city in the San Luis Valley known as a regional hub for southern Colorado and a gateway to Great Sand Dunes National Park.
  • B. Montezuma, Colorado
    Montezuma, Colorado is a small historic mountain town in the Colorado Rockies known for its mining heritage and scenic alpine surroundings.
  • C. San Pedro, Colorado
    San Pedro, Colorado is a small unincorporated community located in rural Costilla County in southern Colorado.
  • D. Antonito
    Antonito is a small town in southern Colorado known as a gateway to the Cumbres & Toltec Scenic Railroad and the San Luis Valley.
  • E. San Isabel, Colorado
    San Isabel, Colorado is a small unincorporated mountain community in Custer County known for its proximity to Lake Isabel and outdoor recreation in the San Isabel National Forest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.