Triple

T15038397
Position Surface form Disambiguated ID Type / Status
Subject Central Colorado E378536 entity
Predicate contains P35 FINISHED
Object Golden, 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: Golden, Colorado | Statement: [Central Colorado, contains, Golden, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden, Colorado
Context triple: [Central Colorado, contains, Golden, Colorado]
  • A. Rico, Colorado
    Rico, Colorado is a small historic mining town in the San Juan Mountains of southwestern Colorado.
  • B. Golden, Colorado, United States chosen
    Golden, Colorado, United States is a historic former gold-rush town at the foothills of the Rocky Mountains that serves as the county seat of Jefferson County and a hub for outdoor recreation and brewing.
  • C. Morrison, Colorado
    Morrison, Colorado is a small historic town in Jefferson County best known as the gateway to Red Rocks Park and Amphitheatre and for its nearby dinosaur fossil sites.
  • D. Wiley, Colorado
    Wiley, Colorado is a small rural community located in southeastern Colorado within Prowers County.
  • E. Silverthorne, Colorado
    Silverthorne, Colorado is a mountain town in Summit County known as a gateway to several major ski resorts and outdoor recreation areas in the Colorado Rockies.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82cf3848190b0b2b6c9e65bc70b completed April 15, 2026, 12:13 a.m.
Created at: April 10, 2026, 2:59 a.m.