Triple
T11219999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Holston Dam |
E265533
|
entity |
| Predicate | hasTailwaterArea |
P97911
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [South Holston Dam, hasTailwaterArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTailwaterArea Context triple: [South Holston Dam, hasTailwaterArea, yes]
-
A.
watershedArea
Indicates the total land area from which surface water drains into a particular water body or point in the drainage system.
-
B.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
-
C.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
-
D.
isTributaryDamOf
Indicates that a dam is constructed on and regulates the flow of a tributary river or stream relative to a main watercourse.
-
E.
drainageAreaFeature
Indicates the geographic feature or area from which water drains into a particular water body or drainage system.
- F. None of above. chosen
Provenance (4 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.