Triple
T13852406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazinga National Park |
E332976
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lake George |
E332519
|
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 George | Statement: [Kazinga National Park, contains, Lake George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake George Context triple: [Kazinga National Park, contains, Lake George]
-
A.
Lake George
chosen
Lake George is a small, shallow freshwater lake in western Uganda, known for its rich biodiversity and role in the African Great Lakes system.
-
B.
Lake George
Lake George is a small recreational lake in Hobart, Indiana, known for fishing, boating, and serving as a local scenic and community gathering spot.
-
C.
Lake George, New York
Lake George, New York is a scenic resort town in the Adirondack Mountains known for its picturesque lake vistas that inspired many of Georgia O’Keeffe’s early paintings.
-
D.
Seneca Lake
Seneca Lake is one of New York State’s largest and deepest Finger Lakes, renowned for its scenic beauty and prominent wine-producing region.
-
E.
Lake Luzerne, New York
Lake Luzerne, New York is a small Adirondack town and resort community known for its lakeside recreation and scenic setting in upstate New York.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe387c02108190badf9b5051cd9c7a |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 9, 2026, 10:14 p.m.