Triple
T385344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sand Harbor |
E8768
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Washoe County |
E20811
|
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: Washoe County | Statement: [Sand Harbor, county, Washoe County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Washoe County Context triple: [Sand Harbor, county, Washoe County]
-
A.
Washoe County
chosen
Washoe County is a populous county in northwestern Nevada that includes the city of Reno and serves as a regional economic and cultural hub.
-
B.
Douglas County, Nevada
Douglas County, Nevada is a county in western Nevada known for encompassing part of Lake Tahoe’s shoreline, scenic Zephyr Cove, and a mix of alpine and high-desert landscapes.
-
C.
Elko County
Elko County is a large, sparsely populated county in northeastern Nevada known for its mining, ranching, and wide-open high desert landscapes.
-
D.
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.
-
E.
Lincoln County, Nevada
Lincoln County, Nevada is a sparsely populated county in southeastern Nevada known for its vast desert landscapes, mountain ranges, and proximity to areas associated with military testing and UFO lore.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f431d48190b83e2eaa2fe0e587 |
completed | March 1, 2026, 9:25 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.