Triple
T22661085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Gaines, Georgia |
E559662
|
entity |
| Predicate | areaWaterNote |
P19308
|
FINISHED |
| Object | includes part of Walter F. George Reservoir |
—
|
LITERAL 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: includes part of Walter F. George Reservoir | Statement: [Fort Gaines, Georgia, areaWaterNote, includes part of Walter F. George Reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaWaterNote Context triple: [Fort Gaines, Georgia, areaWaterNote, includes part of Walter F. George Reservoir]
-
A.
areaWater
Indicates the relationship between a geographic entity and the total area of its surface that is covered by water.
-
B.
areaWaterPercentage
Indicates the proportion of an entity’s total area that is covered by water, typically expressed as a percentage.
-
C.
lakeArea
Indicates the surface area measurement of a lake.
-
D.
hasAreaWaterBody
chosen
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
E.
drainageAreaApprox
Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
- F. None of above.
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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765fe7d081908087778c54c1e612 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.