Triple
T1052997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elko County |
E22740
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Elko |
E28013
|
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: Elko | Statement: [Elko County, hasCity, Elko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elko Context triple: [Elko County, hasCity, Elko]
-
A.
Elko
chosen
Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
-
B.
Winnemucca
Winnemucca is a small city in north-central Nevada known as a regional hub for ranching, mining, and transportation along Interstate 80.
-
C.
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.
-
D.
Pahrump, Nevada
Pahrump, Nevada is a small desert town in Nye County known as a gateway community to Death Valley National Park and the surrounding Mojave Desert region.
-
E.
Primm, Nevada
Primm, Nevada is a small casino and resort town on the Nevada–California border known as a popular stopover for travelers between Los Angeles and Las Vegas.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b644088190a1f0f00f97941298 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad519194988190bb0eb59e7fa34dea |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 1, 2026, 7:42 p.m.