Triple
T14679432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren, Connecticut |
E344738
|
entity |
| Predicate | hasBodyOfWaterNearby |
P17985
|
FINISHED |
| Object | Lake Waramaug |
E188138
|
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: Lake Waramaug | Statement: [Warren, Connecticut, hasBodyOfWaterNearby, Lake Waramaug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Waramaug Context triple: [Warren, Connecticut, hasBodyOfWaterNearby, Lake Waramaug]
-
A.
Lake Waramaug
chosen
Lake Waramaug is a scenic glacial lake in northwestern Connecticut known for its recreational opportunities, surrounding state park, and picturesque New England setting.
-
B.
Lake Mohegan
Lake Mohegan is a residential hamlet in the town of Yorktown in Westchester County, New York.
-
C.
Cazenovia Lake
Cazenovia Lake is a small, scenic glacial lake in central New York State, known for recreational activities and its proximity to the village of Cazenovia.
-
D.
Great Hollow Lake
Great Hollow Lake is a popular recreational lake and park area in Monroe, Connecticut, offering swimming, fishing, and outdoor activities.
-
E.
Lake Skenonto
Lake Skenonto is a scenic backcountry lake in New York’s Harriman State Park, popular with hikers and campers for its remote, forested setting.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1de868819084d71f75210d14f5 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:27 a.m.