Triple
T6856516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Tier of New York |
E158157
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object | Yates County |
E392968
|
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: Yates County | Statement: [Southern Tier of New York, containsCounty, Yates County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yates County Context triple: [Southern Tier of New York, containsCounty, Yates County]
-
A.
Yates County
chosen
Yates County is a rural county in New York State’s Finger Lakes region, known for its vineyards, agriculture, and lakeside communities.
-
B.
Van Buren County
Van Buren County is a county in southwestern Michigan known for its Lake Michigan shoreline, agricultural areas, and small towns.
-
C.
Woods County
Woods County is a rural county in northwestern Oklahoma known for its agricultural economy and the city of Alva, home to Northwestern Oklahoma State University.
-
D.
Upton County
Upton County is a sparsely populated, oil-producing county in western Texas known for its role in the Permian Basin energy region.
-
E.
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.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d86f03ac8190b4307156ab65a276 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769ee07308190abfd1d59ecb4db21 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:20 p.m.