Triple
T3209694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis Dam |
E67248
|
entity |
| Predicate | plantTurbineType |
P11311
|
FINISHED |
| Object | Francis turbine |
—
|
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: Francis turbine | Statement: [Davis Dam, plantTurbineType, Francis turbine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantTurbineType Context triple: [Davis Dam, plantTurbineType, Francis turbine]
-
A.
turbineType
chosen
Indicates the specific kind or category of turbine associated with or used by an entity.
-
B.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
C.
powerplantVariant
Indicates that one power plant is a specific version, configuration, or model variant of another power plant design.
-
D.
powerplantManufacturer
Indicates that one entity is the company or organization responsible for manufacturing or producing the power plant associated with another entity.
-
E.
hasTurbines
Indicates that one entity is equipped with, contains, or includes one or more turbines in relation to another 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaab701c48190b91404ab416f7ce3 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.