Triple
T25497894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roanoke Rapids Lake |
E639028
|
entity |
| Predicate | typeOfDamCreatingLake |
P15960
|
FINISHED |
| Object | hydroelectric dam |
—
|
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: hydroelectric dam | Statement: [Roanoke Rapids Lake, typeOfDamCreatingLake, hydroelectric dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDamCreatingLake Context triple: [Roanoke Rapids Lake, typeOfDamCreatingLake, hydroelectric dam]
-
A.
reservoirCreatedByDam
Indicates that a reservoir exists as a result of being formed or impounded by a specific dam.
-
B.
typeOfDamProject
Indicates that a given project is classified as a dam-related project (i.e., it is a project whose type is a dam project).
-
C.
typeOfDam
chosen
Indicates the specific kind or classification of a dam associated with an entity.
-
D.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
-
E.
lakeCreationPurpose
Indicates the intended purpose or primary function for which a lake was created or established.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 21, 2026, 2:41 p.m.