Triple
T18267758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Loaf (bluff) |
E437527
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lake Winona |
—
|
NE NERFINISHED |
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 Winona | Statement: [Sugar Loaf (bluff), near, Lake Winona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Winona Context triple: [Sugar Loaf (bluff), near, Lake Winona]
-
A.
Lake Winona
Lake Winona is a small recreational lake located in Jefferson Township, New Jersey, known for local boating, fishing, and lakeside homes.
-
B.
Lake Winona
Lake Winona is a freshwater lake in New Hampshire known for recreational activities such as boating and fishing within the Merrimack River watershed.
-
C.
Lake Winona
chosen
Lake Winona is a recreational and scenic freshwater lake in the city of Winona, Minnesota, known for its parks, trails, and views of the surrounding bluffs.
-
D.
Lake Vermilion
Lake Vermilion is a large, scenic freshwater lake in northeastern Minnesota known for its fishing, boating, and extensive shoreline dotted with cabins and resorts.
-
E.
Lake Olympia
Lake Olympia is a freshwater lake located in Ocoee, Florida, known for its residential shoreline and recreational activities such as boating and fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7bda5c8190a5a85f3cfb7aa4ef |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.