Triple
T10658056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Luzerne, New York |
E251146
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Fourth Lake |
E322423
|
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: Fourth Lake | Statement: [Lake Luzerne, New York, hasLake, Fourth Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fourth Lake Context triple: [Lake Luzerne, New York, hasLake, Fourth Lake]
-
A.
Fourth Lake
chosen
Fourth Lake is a popular recreational lake in the central Adirondack region of New York, known for boating, fishing, and scenic mountain surroundings.
-
B.
Third Lake
Third Lake is a small residential village in Lake County, Illinois, known for its suburban character and the lake that shares its name.
-
C.
Third Lake
Third Lake is one of the interconnected Adirondack lakes in New York’s Fulton Chain, known for recreational boating, fishing, and scenic forested shorelines.
-
D.
Fifth Lake
Fifth Lake is a scenic freshwater lake in the Town of Webb in New York’s Adirondack region, known for outdoor recreation such as boating and fishing.
-
E.
Sixth Lake
Sixth Lake is a scenic freshwater lake in the Town of Webb in New York’s Adirondack region, known for boating, fishing, and outdoor recreation.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e01643a88190abc7c16fd0f85e53 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd082fe64819088a270f18190b172 |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:07 p.m.