Triple

T18227054
Position Surface form Disambiguated ID Type / Status
Subject Atwood E436446 entity
Predicate hasNotablePlaceName P59119 FINISHED
Object Atwood, 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: Atwood, Colorado | Statement: [Atwood, hasNotablePlaceName, Atwood, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atwood, Colorado
Context triple: [Atwood, hasNotablePlaceName, Atwood, Colorado]
  • A. Eaton, Colorado
    Eaton, Colorado is a small agricultural town in Weld County in northern Colorado, situated within the broader Fort Collins–Greeley region.
  • B. 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.
  • C. Moffat, Colorado
    Moffat, Colorado is a small rural town in south-central Colorado known for its agricultural surroundings and proximity to the San Luis Valley.
  • D. Wiley, Colorado chosen
    Wiley, Colorado is a small rural community located in southeastern Colorado within Prowers County.
  • E. Evergreen, Colorado
    Evergreen, Colorado is a mountain community west of Denver known for its scenic forests, outdoor recreation, and small-town atmosphere.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.