Triple

T15071458
Position Surface form Disambiguated ID Type / Status
Subject E-470 E379888 entity
Predicate passesNear P416 FINISHED
Object Parker, 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: Parker, Colorado | Statement: [E-470, passesNear, Parker, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parker, Colorado
Context triple: [E-470, passesNear, Parker, Colorado]
  • A. Parker, Colorado chosen
    Parker, Colorado is a rapidly growing suburban town in the Denver metropolitan area known for its family-friendly neighborhoods, trail system, and small-town downtown.
  • B. North Park, Colorado
    North Park, Colorado is a high-elevation basin in north-central Colorado known for its expansive valley landscapes, ranching, and role as the headwaters region for several major rivers.
  • C. Rico, Colorado
    Rico, Colorado is a small historic mining town in the San Juan Mountains of southwestern Colorado.
  • D. Cortez, Colorado
    Cortez, Colorado is a small city in southwestern Colorado known as a gateway to Mesa Verde National Park and the Four Corners region.
  • E. Mesa, Colorado
    Mesa, Colorado is a small unincorporated community in western Colorado that serves as a gateway to the nearby Grand Mesa and its outdoor recreation areas.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7f86df48190b3a2cf441fefb477 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 3:02 a.m.