Triple

T420397
Position Surface form Disambiguated ID Type / Status
Subject Sonora Pass E8088 entity
Predicate county P75 FINISHED
Object Mono County E26068 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: Mono County | Statement: [Sonora Pass, county, Mono County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono County
Context triple: [Sonora Pass, county, Mono County]
  • A. Mono County chosen
    Mono County is a sparsely populated county in eastern California known for its dramatic Sierra Nevada landscapes, including parts of Yosemite National Park and Mono Lake.
  • B. Curry County
    Curry County is a rural county in eastern New Mexico known for its agricultural economy and the city of Clovis, a regional hub near the Texas border.
  • C. Butler County
    Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
  • D. Storey County
    Storey County is a small, historic county in northern Nevada best known for the Comstock Lode mining district and the preserved 19th-century town of Virginia City.
  • E. Nelson County, Kentucky
    Nelson County, Kentucky is a historic central Kentucky county known for its role in the bourbon whiskey industry and its seat in the city of Bardstown.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebf65cc81908196fee4f09d5889 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fba1d08190a8eb41271b59a693 completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.