Triple
T15878625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Point Dam |
E385014
|
entity |
| Predicate | downstreamFrom |
P5956
|
FINISHED |
| Object | Lake Lanier |
E255392
|
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 Lanier | Statement: [West Point Dam, downstreamFrom, Lake Lanier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Lanier Context triple: [West Point Dam, downstreamFrom, Lake Lanier]
-
A.
Lake Lanier
chosen
Lake Lanier is a large man-made reservoir in northern Georgia known for recreation, boating, and serving as a major water supply for the Atlanta metropolitan area.
-
B.
Lake Tallapoosa
Lake Tallapoosa is a man-made reservoir on the Tallapoosa River, known for recreational activities such as boating, fishing, and lakeside camping.
-
C.
Lake Sidney Lanier
Lake Sidney Lanier is a large, man-made reservoir in northern Georgia popular for recreation, water supply, and hydroelectric power generation.
-
D.
Lake Allatoona
Lake Allatoona is a large reservoir in northwestern Georgia popular for boating, fishing, and outdoor recreation.
-
E.
Lake Oconee
Lake Oconee is a large reservoir in central Georgia known for its recreational boating, fishing, and upscale lakeside communities and resorts.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.