Triple
T5382736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Nevada |
E113127
|
entity |
| Predicate | hasCounty |
P285
|
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: [Southern Nevada, hasCounty, Nye County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nye County Context triple: [Southern Nevada, hasCounty, 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.
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.
-
D.
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.
-
E.
Mineral County
Mineral County is a rural county in western Nevada known for its mining history, desert landscapes, and the Hawthorne Army Depot.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86d163f88190939638d44fcb24a7 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfabe6de448190a4e0c2e537a2e045 |
completed | March 22, 2026, 8:44 a.m. |
Created at: March 20, 2026, 2:03 p.m.