Triple
T37790968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ormat Technologies |
E942084
|
entity |
| Predicate | energyTechnologyDomain |
P136516
|
FINISHED |
| Object | waste-heat-to-power systems |
—
|
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: waste-heat-to-power systems | Statement: [Ormat Technologies, energyTechnologyDomain, waste-heat-to-power systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyTechnologyDomain Context triple: [Ormat Technologies, energyTechnologyDomain, waste-heat-to-power systems]
-
A.
energyTechnology
chosen
Indicates a relationship where one entity is a type, instance, or application of an energy-related technology associated with the other entity.
-
B.
fuelProductionTechnology
Indicates the type of technology or method used to produce a particular fuel.
-
C.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
D.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
-
E.
energyHub
Indicates a central entity that collects, manages, and distributes energy or power among connected entities or systems.
- 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_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.