Triple

T3057083
Position Surface form Disambiguated ID Type / Status
Subject Mesa Verde National Park E60506 entity
Predicate nearestCity P350 FINISHED
Object Durango, Colorado E306961 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: Durango, Colorado | Statement: [Mesa Verde National Park, nearestCity, Durango, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durango, Colorado
Context triple: [Mesa Verde National Park, nearestCity, Durango, Colorado]
  • A. Durango
    Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
  • B. Durango chosen
    Durango is a historic mountain town in southwestern Colorado known for its scenic landscapes, outdoor recreation, and the Durango & Silverton Narrow Gauge Railroad.
  • C. Cortez, Colorado
    Cortez, Colorado is a small city in southwestern Colorado known as a gateway to Mesa Verde National Park and the Four Corners region.
  • D. Alamosa, Colorado
    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.
  • E. Salida, Colorado
    Salida, Colorado is a small mountain city in central Colorado known for its historic downtown, outdoor recreation on the Arkansas River, and access to the surrounding Rocky Mountains.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595d57bcc8190b2a6e28437a32b93 completed March 14, 2026, 5:07 p.m.
Created at: March 8, 2026, 3:02 p.m.