Triple
T20052358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Frank |
E499234
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Needwood |
—
|
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 Needwood | Statement: [Lake Frank, locatedNear, Lake Needwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Needwood Context triple: [Lake Frank, locatedNear, Lake Needwood]
-
A.
Lake Needwood
chosen
Lake Needwood is a man-made reservoir and recreational lake in Montgomery County, Maryland, popular for boating, fishing, and scenic outdoor activities.
-
B.
Lake Winthrop
Lake Winthrop is a recreational freshwater lake in Holliston, Massachusetts, known for activities such as swimming, boating, and fishing.
-
C.
Lake Blaisdell
Lake Blaisdell is a freshwater lake located within the Merrimack River watershed in New Hampshire.
-
D.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
E.
Lake Secor
Lake Secor is a small residential lake community in the town of Carmel in Putnam County, New York.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632ee4d48190b9de3a1efa064492 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.