Triple

T10154990
Position Surface form Disambiguated ID Type / Status
Subject Calvada Meadows Airport E232752 entity
Predicate county P75 FINISHED
Object Nye County E29687 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: Nye County | Statement: [Calvada Meadows Airport, county, Nye County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nye County
Context triple: [Calvada Meadows Airport, county, Nye County]
  • A. Nye County chosen
    Nye County is a large, sparsely populated county in south-central Nevada known for its desert landscapes, mining history, and proximity to the Nevada Test Site.
  • B. Churchill County
    Churchill County is a largely rural county in Nevada known for its agricultural communities, desert landscapes, and the city of Fallon as its county seat.
  • C. Wasco County
    Wasco County is a county in north-central Oregon known for its historic role in regional transportation and agriculture along the Columbia River.
  • D. Kit Carson County
    Kit Carson County is a rural county in the High Plains region of eastern Colorado known for its agricultural economy and historic carousel in the county seat of Burlington.
  • 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 (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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec38f594819088a7eb73fc25feff completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d406e2c8190ad27f3a5276be25f completed April 19, 2026, 1:17 a.m.
Created at: March 30, 2026, 9:08 p.m.