Triple
T27745183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle Rock Dam |
E701960
|
entity |
| Predicate | reservoirNameBeforeImpoundment |
P163197
|
FINISHED |
| Object | Wisconsin River |
—
|
NE NERFINISHED |
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: Wisconsin River | Statement: [Castle Rock Dam, reservoirNameBeforeImpoundment, Wisconsin River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirNameBeforeImpoundment Context triple: [Castle Rock Dam, reservoirNameBeforeImpoundment, Wisconsin River]
-
A.
reservoirCreatedByDam
Indicates that a reservoir exists as a result of being formed or impounded by a specific dam.
-
B.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
-
C.
riverImpounded
Indicates that a river’s natural flow is obstructed or controlled, typically by a dam or similar structure, creating an impoundment such as a reservoir.
-
D.
namedReservoirSurfaceName
Indicates that a specific name is assigned to the surface of a reservoir.
-
E.
reservoirRiver
Indicates that a reservoir is supplied or drained by, and thus hydrologically connected to, a particular river.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63719b84c81909c805036f6717239 |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:15 p.m.