Triple
T19932462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouarzazate Solar Power Station |
E479087
|
entity |
| Predicate | hasThermalStorage |
P4607
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ouarzazate Solar Power Station, hasThermalStorage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThermalStorage Context triple: [Ouarzazate Solar Power Station, hasThermalStorage, true]
-
A.
storesEnergyAs
chosen
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
B.
hasThermalWaterUse
Indicates that something makes use of thermal water, typically for purposes such as heating, bathing, energy production, or therapeutic applications.
-
C.
hasThermalResource
Indicates that an entity possesses, provides, or is associated with a source of thermal energy or heat-related capability.
-
D.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
E.
containsThermalBath
Indicates that one entity includes or features a thermal bath within its premises or composition.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a14a2348190b41f8e320fe661d6 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.