Triple
T31072896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars Hill Mountain wind farm |
E791870
|
entity |
| Predicate | isUtilityScale |
P60650
|
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: [Mars Hill Mountain wind farm, isUtilityScale, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUtilityScale Context triple: [Mars Hill Mountain wind farm, isUtilityScale, true]
-
A.
hasLargeScale
chosen
Indicates that an entity operates, exists, or is implemented at a large or extensive scale relative to typical or baseline cases.
-
B.
isSmallScale
Indicates that the related activity, operation, or entity occurs on a limited or minor scale, involving relatively small size, scope, or capacity.
-
C.
isScalable
Indicates that something can handle increasing amounts of work, users, or data without a proportional loss of performance or efficiency.
-
D.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
E.
wasScaledFor
Indicates that something was adjusted in size, capacity, or extent to suit a particular context, requirement, or target.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695b7575c81909898124bfc346407 |
completed | May 3, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:01 p.m.