Triple

T10944546
Position Surface form Disambiguated ID Type / Status
Subject Larimer County, Colorado E258560 entity
Predicate hasCity P316 FINISHED
Object Loveland, Colorado E264083 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: Loveland, Colorado | Statement: [Larimer County, Colorado, hasCity, Loveland, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loveland, Colorado
Context triple: [Larimer County, Colorado, hasCity, Loveland, Colorado]
  • A. Loveland, Colorado chosen
    Loveland, Colorado is a city in northern Colorado known for its art community, Valentine re-mailing tradition, and proximity to the Rocky Mountains.
  • B. Evergreen, Colorado
    Evergreen, Colorado is a mountain community west of Denver known for its scenic forests, outdoor recreation, and small-town atmosphere.
  • C. Norwood, Colorado
    Norwood, Colorado is a small rural town on Wright’s Mesa in southwestern Colorado known for ranching, outdoor recreation, and its proximity to the San Juan Mountains.
  • D. Hillside, Colorado
    Hillside, Colorado is a small unincorporated community located in the rural Wet Mountain Valley of south-central Colorado.
  • E. Buena Vista, Colorado
    Buena Vista, Colorado is a small mountain town in central Colorado known for its access to outdoor recreation, including whitewater rafting on the Arkansas River and hiking in the nearby Collegiate Peaks.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d4f9518819091f7e02ad5f63ab3 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:23 p.m.