Triple

T19163665
Position Surface form Disambiguated ID Type / Status
Subject Gypsum, Colorado E469121 entity
Predicate near P350 FINISHED
Object Eagle, 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: Eagle, Colorado | Statement: [Gypsum, Colorado, near, Eagle, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eagle, Colorado
Context triple: [Gypsum, Colorado, near, Eagle, Colorado]
  • A. Eagle, Colorado chosen
    Eagle, Colorado is a small mountain town in western Colorado known as a gateway to outdoor recreation in the nearby White River National Forest and surrounding Rocky Mountains.
  • B. Falcon, Colorado
    Falcon, Colorado is an unincorporated, rapidly growing residential community in El Paso County, located just northeast of Colorado Springs.
  • C. Eaton, Colorado
    Eaton, Colorado is a small agricultural town in Weld County in northern Colorado, situated within the broader Fort Collins–Greeley region.
  • D. Evergreen, Colorado
    Evergreen, Colorado is a mountain community west of Denver known for its scenic forests, outdoor recreation, and small-town atmosphere.
  • E. Black Hawk, Colorado
    Black Hawk, Colorado is a historic former mining town in the Rocky Mountains that boomed during the Colorado Gold Rush and is now known for its casinos and preserved 19th-century character.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebeb9848190ad4ae4c61fa14e08 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.