Triple

T17840800
Position Surface form Disambiguated ID Type / Status
Subject Blanca Peak E445517 entity
Predicate nearestCommunity P350 FINISHED
Object Blanca, Colorado 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: Blanca, Colorado | Statement: [Blanca Peak, nearestCommunity, Blanca, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanca, Colorado
Context triple: [Blanca Peak, nearestCommunity, Blanca, Colorado]
  • A. Blanca, Colorado chosen
    Blanca, Colorado is a small unincorporated community in Alamosa County located in the San Luis Valley region of southern Colorado.
  • B. Blende, Colorado
    Blende, Colorado is a small unincorporated community and census-designated place located near the city of Pueblo in southern Colorado.
  • C. La Veta, Colorado
    La Veta, Colorado is a small historic town in southern Colorado known as a gateway to the Spanish Peaks and the scenic Highway of Legends.
  • D. Rosita, Colorado
    Rosita, Colorado is a historic former silver-mining town in Custer County that is now largely a ghost town and unincorporated community.
  • E. Montezuma, Colorado
    Montezuma, Colorado is a small historic mountain town in the Colorado Rockies known for its mining heritage and scenic alpine surroundings.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2b2ea08190926ec0cf01285833 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.