Triple

T19313999
Position Surface form Disambiguated ID Type / Status
Subject CO 120 E483045 entity
Predicate connectsTo P845 FINISHED
Object Penrose, 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: Penrose, Colorado | Statement: [CO 120, connectsTo, Penrose, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penrose, Colorado
Context triple: [CO 120, connectsTo, Penrose, Colorado]
  • A. Penrose, Colorado chosen
    Penrose, Colorado is a small unincorporated community and census-designated place in Fremont County known for its rural character and agricultural surroundings.
  • B. Peyton, Colorado
    Peyton, Colorado is a small unincorporated community in El Paso County that serves as a rural residential area northeast of Colorado Springs.
  • 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. Pritchett, Colorado
    Pritchett, Colorado is a small rural town in southeastern Colorado known for its agricultural surroundings and close-knit community.
  • E. Parachute, Colorado
    Parachute, Colorado is a small town in western Colorado’s Garfield County, known as a gateway to the nearby Roan Plateau and the surrounding energy and outdoor recreation region.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cfec8c8190a118b327b1418150 completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.