Triple

T8406377
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Colorado E198509 entity
Predicate contains P35 FINISHED
Object Conifer, Colorado E752671 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: Conifer, Colorado | Statement: [Jefferson County, Colorado, contains, Conifer, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conifer, Colorado
Context triple: [Jefferson County, Colorado, contains, Conifer, Colorado]
  • A. Arboles, Colorado
    Arboles, Colorado is a small unincorporated community in southwestern Colorado located within the Southern Ute Indian Reservation.
  • B. Evergreen, Colorado chosen
    Evergreen, Colorado is a mountain community west of Denver known for its scenic forests, outdoor recreation, and small-town atmosphere.
  • C. Del Norte, Colorado
    Del Norte, Colorado is a small historic town in south-central Colorado that serves as a gateway to the San Juan Mountains and the Rio Grande National Forest.
  • D. Saguache, Colorado
    Saguache, Colorado is a small historic town in south-central Colorado that serves as the administrative and cultural hub of Saguache County.
  • E. Wetmore, Colorado
    Wetmore, Colorado is a small unincorporated community and census-designated place in Custer County known for its rural setting near the Wet Mountains in south-central Colorado.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf512d294c8190bed7e37991d237c1 completed April 3, 2026, 5:33 a.m.
Created at: March 30, 2026, 6:05 p.m.