Triple

T19531456
Position Surface form Disambiguated ID Type / Status
Subject Fraser E488664 entity
Predicate county P75 FINISHED
Object Grand County 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: Grand County | Statement: [Fraser, county, Grand County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand County
Context triple: [Fraser, county, Grand County]
  • A. Grand County, Colorado chosen
    Grand County, Colorado is a mountainous county in north-central Colorado known for its outdoor recreation, including skiing, hiking, and access to Rocky Mountain National Park.
  • B. Mineral County
    Mineral County is a sparsely populated, heavily forested county in western Montana known for its mountainous terrain, outdoor recreation, and proximity to the Idaho border.
  • C. Mineral County
    Mineral County is a rural county in western Nevada known for its mining history, desert landscapes, and the Hawthorne Army Depot.
  • D. Grand County, Utah
    Grand County, Utah is a scenic county in eastern Utah known for its dramatic red rock landscapes and outdoor recreation hubs, including the city of Moab and nearby national parks.
  • E. Lander County
    Lander County is a sparsely populated, rural county in north-central Nevada known for its mining history and wide expanses of high desert and mountain terrain.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363fd1f8819080805346efad2579 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.