Triple
T13529106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spektr |
E323085
|
entity |
| Predicate | solarArrayArea |
P110711
|
FINISHED |
| Object | 70 m2 |
—
|
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: 70 m2 | Statement: [Spektr, solarArrayArea, 70 m2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarArrayArea Context triple: [Spektr, solarArrayArea, 70 m2]
-
A.
solarArray
Indicates that one entity functions as a solar array for another, typically providing solar-generated electrical power or energy.
-
B.
solarArraySpan
Indicates the total distance or width covered by a solar array, typically measured from one outer edge to the opposite outer edge.
-
C.
numberOfSolarArrays
Indicates the quantity of solar array units associated with or installed on an entity.
-
D.
solarArrayIssue
Indicates that there is a problem, malfunction, or abnormal condition affecting a solar array.
-
E.
effectiveArea
Indicates the portion of a surface or region that actually contributes to a specified effect, such as performance, interaction, or impact, within a given context.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:44 p.m.