Triple
T17245743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Space Simulator |
E418619
|
entity |
| Predicate | hasSolarSimulatorPower |
P126537
|
FINISHED |
| Object | up to about 6 megawatts |
—
|
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: up to about 6 megawatts | Statement: [Large Space Simulator, hasSolarSimulatorPower, up to about 6 megawatts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSolarSimulatorPower Context triple: [Large Space Simulator, hasSolarSimulatorPower, up to about 6 megawatts]
-
A.
isSolar
Indicates that something is powered by, related to, or derived from the sun or solar energy.
-
B.
hasSolarRadiation
Indicates that an entity is subject to, receives, or is characterized by a certain amount or presence of solar radiation.
-
C.
hasMaximumSolarInsolation
Indicates that an entity receives the highest level of solar radiation or sunlight intensity compared to relevant alternatives or within a given context.
-
D.
hasMinimumSolarInsolation
Indicates that an entity receives at least a specified minimum amount of solar energy (insolation) over a given area and time period.
-
E.
solarArrayOutput
Indicates the amount of electrical power or energy being produced by a solar array under given conditions.
- F. None of above. chosen
Provenance (4 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e23b8948190870d0e6b4e55b4e3 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:39 a.m.