Triple
T26405671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyclone IV |
E663823
|
entity |
| Predicate | powerOptimizationFeatures |
P15693
|
FINISHED |
| Object | power-aware synthesis |
—
|
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: power-aware synthesis | Statement: [Cyclone IV, powerOptimizationFeatures, power-aware synthesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerOptimizationFeatures Context triple: [Cyclone IV, powerOptimizationFeatures, power-aware synthesis]
-
A.
powerOptimizationFor
chosen
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
-
B.
powerOptimized
Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
-
C.
powerManagementFeatures
Indicates that one entity provides, supports, or is associated with capabilities for controlling, optimizing, or conserving the power usage of another entity.
-
D.
powersFeature
Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
-
E.
powerProfileType
Indicates the category or configuration of power usage or supply associated with an entity.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 26, 2026, 11:34 p.m.