Triple
T20318193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivanpah Solar Electric Generating System |
E492136
|
entity |
| Predicate | approximateSiteArea |
P128175
|
FINISHED |
| Object | about 3,500 acres |
—
|
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: about 3,500 acres | Statement: [Ivanpah Solar Electric Generating System, approximateSiteArea, about 3,500 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateSiteArea Context triple: [Ivanpah Solar Electric Generating System, approximateSiteArea, about 3,500 acres]
-
A.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
B.
hasApproximateSurfaceArea
chosen
Indicates that an entity is associated with a surface area value that is an estimate rather than an exact measurement.
-
C.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
D.
typicalEndpointArea
Indicates that a location or region is the usual or characteristic area where an endpoint (such as a process, structure, or event outcome) occurs or is situated.
-
E.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67789d8108190ae2e134f4b0b0be5 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b23a0788190bf1853ef5b81823f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:20 a.m.