Triple
T7351233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Peak |
E169505
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Esmeralda County |
E30814
|
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: Esmeralda County | Statement: [Silver Peak, county, Esmeralda County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esmeralda County Context triple: [Silver Peak, county, Esmeralda County]
-
A.
Esmeralda County
chosen
Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
-
B.
Castro County
Castro County is a rural county in the Texas Panhandle known for its agriculture-based economy and small communities.
-
C.
Marengo County
Marengo County is a rural county in west-central Alabama known for its agricultural economy, historic small towns, and location in the state's Black Belt region.
-
D.
Levy County
Levy County is a rural county in Florida known for its Gulf Coast shoreline, small towns, and natural springs and forests.
-
E.
Thomas County
Thomas County is a county in southern Georgia, United States, known for its historic city of Thomasville and its blend of agricultural and cultural heritage.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10a2e1c8190939b007fbf787a54 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8276a812c8190891df68bd79d79bd |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:05 p.m.