Triple

T6251829
Position Surface form Disambiguated ID Type / Status
Subject Bodie E140062 entity
Predicate locatedIn P40 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: [Bodie, locatedIn, Mono County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono County
Context triple: [Bodie, locatedIn, 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. Morgan County
    Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • C. Morgan County
    Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • D. Morgan County
    Morgan County is a rural county in northern Utah known for its mountainous terrain, outdoor recreation, and small-town communities northeast of Salt Lake City.
  • E. Pressburg County
    Pressburg County was a historic administrative region of the Kingdom of Hungary centered on the city of Pressburg (now Bratislava), encompassing parts of present-day western Slovakia and neighboring areas.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633fb2ac8190b71b8e35fa923300 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c244240b448190be3645177194ced6 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.