Triple
T4258869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmel, New York |
E96050
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Gleneida |
E241506
|
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 Gleneida | Statement: [Carmel, New York, hasLake, Lake Gleneida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Gleneida Context triple: [Carmel, New York, hasLake, Lake Gleneida]
-
A.
Lake Gleneida
chosen
Lake Gleneida is a scenic freshwater lake in Carmel, New York, known as a local landmark and recreational spot in Putnam County.
-
B.
Lake Talquin
Lake Talquin is a large reservoir in northern Florida known for its fishing, boating, and surrounding wildlife management areas.
-
C.
Threenarrows Lake
Threenarrows Lake is a remote backcountry lake in Ontario’s Killarney Provincial Park, known for its rugged wilderness setting and canoe-camping opportunities.
-
D.
Lake Lillinonah
Lake Lillinonah is a large, scenic man-made lake in western Connecticut popular for boating, fishing, and waterfront recreation.
-
E.
Teresa Lake
Teresa Lake is a small alpine glacial lake in Nevada’s Great Basin National Park, known for its scenic mountain setting and hiking access.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7ec4508190a5067f1112ac7dca |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe61a2cd8819089ea67309d284be4 |
completed | March 22, 2026, 12:52 p.m. |
Created at: March 12, 2026, 11:06 p.m.