Triple
T13237344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keuka Park, New York |
E315182
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Keuka Lake |
E80129
|
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: Keuka Lake | Statement: [Keuka Park, New York, hasViewOf, Keuka Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keuka Lake Context triple: [Keuka Park, New York, hasViewOf, Keuka Lake]
-
A.
Keuka Lake
chosen
Keuka Lake is one of New York State’s Finger Lakes, known for its distinctive Y-shape, scenic beauty, and prominent wine-producing region along its shores.
-
B.
Oswego Lake
Oswego Lake is a privately managed, man-made lake in Lake Oswego, Oregon, known for its surrounding upscale residential communities and recreational use.
-
C.
Orankesee
Orankesee is a small recreational lake in Berlin known for its bathing beach, boating, and surrounding parkland.
-
D.
Chautauqua Lake
Chautauqua Lake is a long, narrow glacial lake in western New York known for recreation, fishing, and its proximity to the historic Chautauqua Institution.
-
E.
Geauga Lake
Geauga Lake was a former large amusement park and water park in Aurora, Ohio, known for its roller coasters and long history before closing in the late 2000s.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d3398b08190a0fc4b6044576e0a |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:22 p.m.