Triple

T2626333
Position Surface form Disambiguated ID Type / Status
Subject Eastern California E59126 entity
Predicate hasPart P35 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: [Eastern California, hasPart, Mono County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono County
Context triple: [Eastern California, hasPart, 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 county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • C. Nelson County
    Nelson County is a county in central Kentucky known for its historic towns and prominent role in the state's bourbon whiskey production.
  • D. Russell County
    Russell County is a county in eastern Alabama, United States, located along the Chattahoochee River near the Georgia state line.
  • E. 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.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b1bd348190a4be25caa82d2eb1 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909e02d0819082377681f4376531 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.