Triple
T1772136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln County, Nevada |
E38898
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Pioche |
E218016
|
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: Pioche | Statement: [Lincoln County, Nevada, countySeat, Pioche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pioche Context triple: [Lincoln County, Nevada, countySeat, Pioche]
-
A.
Pioche, Nevada
chosen
Pioche, Nevada is a historic mining town in eastern Nevada known for its 19th-century silver boom and Old West heritage.
-
B.
Elko
Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
-
C.
Winnemucca
Winnemucca is a small city in north-central Nevada known as a regional hub for ranching, mining, and transportation along Interstate 80.
-
D.
Fernley
Fernley is a small city in western Nevada known for its location along Interstate 80 and its role as a growing residential and logistics hub near Reno.
-
E.
Kemmerer, Wyoming
Kemmerer, Wyoming is a small historic town in western Wyoming best known as the place where retail pioneer J. C. Penney opened his first store.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64913ca481909bdc09f6f57b38dc |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fc02b948190bc28175ff8c46110 |
completed | March 9, 2026, 1:17 a.m. |
Created at: March 4, 2026, 7:31 p.m.