Triple
T8438135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Point Lake |
E199280
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | West Point, Georgia |
E32086
|
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: West Point, Georgia | Statement: [West Point Lake, locatedNear, West Point, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Point, Georgia Context triple: [West Point Lake, locatedNear, West Point, Georgia]
-
A.
West Point, Georgia
chosen
West Point, Georgia is a small city in western Georgia along the Chattahoochee River, known historically as a textile mill town and now for hosting a major Kia Motors manufacturing plant.
-
B.
Union Point, Georgia
Union Point, Georgia is a small historic city in Greene County known for its railroad heritage and preserved 19th-century architecture.
-
C.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
D.
Du Pont, Georgia
Du Pont, Georgia is a small rural town in southern Georgia, United States, known for its historic ties to the region’s timber and railroad industries.
-
E.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe135657c81908ed8156fbfbef6ec |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d87403c8190b979af4979e43517 |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.