Triple
T10942357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepaug River |
E258504
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Lake Lillinonah |
E526610
|
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 Lillinonah | Statement: [Shepaug River, mouthLocation, Lake Lillinonah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Lillinonah Context triple: [Shepaug River, mouthLocation, Lake Lillinonah]
-
A.
Lake Lillinonah
chosen
Lake Lillinonah is a large, scenic man-made lake in western Connecticut popular for boating, fishing, and waterfront recreation.
-
B.
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.
-
C.
Lake Waban
Lake Waban is a scenic freshwater lake in Wellesley, Massachusetts, known for its walking trails and its central role in the landscape of Wellesley College.
-
D.
Vandercook Lake
Vandercook Lake is a small inland lake and surrounding community area located near the city of Jackson in south-central Michigan.
-
E.
Riffe Lake
Riffe Lake is a large reservoir on the Cowlitz River in southwestern Washington, popular for fishing, boating, and camping.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb02b55f4819098f2b18fcf17ef0e |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:23 p.m.