Triple
T2688759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohegan Lake |
E57545
|
entity |
| Predicate | waterBody |
P1778
|
FINISHED |
| Object | Mohegan Lake |
E57545
|
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: Mohegan Lake | Statement: [Mohegan Lake, waterBody, Mohegan Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohegan Lake Context triple: [Mohegan Lake, waterBody, Mohegan Lake]
-
A.
Mohegan Lake
chosen
Mohegan Lake is a residential hamlet and census-designated place in northern Westchester County, New York, centered around its namesake lake.
-
B.
Saratoga Lake
Saratoga Lake is a popular recreational lake in eastern New York known for boating, fishing, and its proximity to the city of Saratoga Springs.
-
C.
Saranac Lake
Saranac Lake is a historic village and resort community in northern New York known for its scenic lakes, outdoor recreation, and role as a former tuberculosis treatment center.
-
D.
Oneida Lake
Oneida Lake is a large, shallow lake in central New York known for its recreational fishing, boating, and role as an important link in the region’s waterways.
-
E.
Blue Mountain Lake, New York
Blue Mountain Lake, New York is a small hamlet in the central Adirondacks known for its scenic mountain lake setting and historic resorts.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f1ba3081909a349a2f30f8f9c9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12dfe893c81909c79ea6cffb5bae6 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 9:54 p.m.