Triple
T12863952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Kerr Scott Dam |
E307667
|
entity |
| Predicate | hasReservoirShorelineLength |
P1568
|
FINISHED |
| Object | approximately 56 miles |
—
|
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: approximately 56 miles | Statement: [W. Kerr Scott Dam, hasReservoirShorelineLength, approximately 56 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReservoirShorelineLength Context triple: [W. Kerr Scott Dam, hasReservoirShorelineLength, approximately 56 miles]
-
A.
shorelineLength
chosen
Indicates the total measured extent of a land area’s boundary where it meets a body of water.
-
B.
reservoirLength
Indicates the measured longitudinal extent of a reservoir from one end to the other.
-
C.
hasLongShoreline
Indicates that an entity possesses an extensive or unusually long shoreline relative to typical cases.
-
D.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
-
E.
hasShorelineUse
Indicates that a geographic area or property is used for a particular type of activity or purpose along its shoreline.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:37 p.m.