Triple
T1231677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storey County |
E26455
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Lyon County |
E26741
|
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: Lyon County | Statement: [Storey County, borderedBy, Lyon County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyon County Context triple: [Storey County, borderedBy, Lyon County]
-
A.
Lyon County
chosen
Lyon County is a largely rural county in western Nevada known for its historic mining towns and growing residential communities.
-
B.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
C.
Storey County
Storey County is a small, historic county in northern Nevada best known for the Comstock Lode mining district and the preserved 19th-century town of Virginia City.
-
D.
Lawrence County
Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
-
E.
Lawrence County
Lawrence County is a rural county in northern Alabama known for its agricultural communities, outdoor recreation areas, and proximity to the Tennessee River.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5a25348190a0665b6324c4d8f5 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb39f627c8190b9961cfeb4b257ca |
completed | March 9, 2026, 11:48 a.m. |
Created at: March 1, 2026, 7:47 p.m.