Triple

T12747020
Position Surface form Disambiguated ID Type / Status
Subject Eden, Colorado E304630 entity
Predicate hasName P744 FINISHED
Object Eden, Colorado E63586 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: Eden, Colorado | Statement: [Eden, Colorado, hasName, Eden, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eden, Colorado
Context triple: [Eden, Colorado, hasName, Eden, Colorado]
  • A. Eden, Colorado chosen
    Eden, Colorado is a small unincorporated community located in rural Pueblo County in the state of Colorado.
  • B. Edwards, Colorado
    Edwards, Colorado is an unincorporated mountain community and growing residential and commercial hub in the Vail Valley region of central Colorado.
  • C. Evergreen, Colorado
    Evergreen, Colorado is a mountain community west of Denver known for its scenic forests, outdoor recreation, and small-town atmosphere.
  • D. Edgewater, Colorado
    Edgewater, Colorado is a small home-rule municipality in Jefferson County that forms part of the Denver metropolitan area, known for its proximity to Sloan’s Lake and its compact, walkable residential character.
  • E. Cedaredge, Colorado
    Cedaredge, Colorado is a small town in western Colorado known as a gateway to the Grand Mesa, offering access to outdoor recreation, orchards, and scenic mountain landscapes.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b9e0c4819095194dc42677e17f completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 5:27 p.m.