Triple
T21315821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwood County, South Carolina |
E525466
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lake Greenwood |
—
|
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 Greenwood | Statement: [Greenwood County, South Carolina, contains, Lake Greenwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Greenwood Context triple: [Greenwood County, South Carolina, contains, Lake Greenwood]
-
A.
Lake Greenwood
chosen
Lake Greenwood is a large man-made reservoir in South Carolina known for boating, fishing, and lakeside recreation.
-
B.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
C.
Lake Pleasant
Lake Pleasant is a large recreational reservoir in central Arizona known for boating, fishing, and outdoor activities within the Phoenix metropolitan area.
-
D.
Lake Pleasant
Lake Pleasant is a small town in New York’s Adirondack region that serves as the governmental and administrative center of Hamilton County.
-
E.
Lake Herman
Lake Herman is a natural glacial lake in eastern South Dakota known for recreation such as fishing, boating, and camping within Lake Herman State Park.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcf2534819097abbb2e9559e791 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:29 p.m.