Triple
T37790963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ormat Technologies |
E942084
|
entity |
| Predicate | typeOfPowerProducer |
P101857
|
FINISHED |
| Object | independent power producer (IPP) |
—
|
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: independent power producer (IPP) | Statement: [Ormat Technologies, typeOfPowerProducer, independent power producer (IPP)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPowerProducer Context triple: [Ormat Technologies, typeOfPowerProducer, independent power producer (IPP)]
-
A.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
B.
electricityProviderType
chosen
Indicates the specific category or kind of electricity provider associated with an entity.
-
C.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
-
D.
powerPlantDeveloper
Indicates that one entity is responsible for developing, constructing, or otherwise creating a power plant for another entity or location.
-
E.
energyType
Indicates the kind or category of energy associated with an entity or process.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.