Triple
T371338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madera County |
E8275
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Mono County |
E26068
|
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: Mono County | Statement: [Madera County, borders, Mono County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mono County Context triple: [Madera County, borders, Mono County]
-
A.
Mono County
chosen
Mono County is a sparsely populated county in eastern California known for its dramatic Sierra Nevada landscapes, including parts of Yosemite National Park and Mono Lake.
-
B.
Butler County
Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
-
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.
Greene County
Greene County is a rural county in southwestern Pennsylvania known for its Appalachian landscape, coal mining history, and small-town communities within the greater Pittsburgh region.
-
E.
Columbia County
Columbia County is a rural county in eastern New York State known for its Hudson River frontage, historic towns, and agricultural landscapes.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a413ef8ee4819092beeeb2d6563a2f |
completed | March 1, 2026, 10:24 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.