Triple
T28505663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubuntu |
E721358
|
entity |
| Predicate | isEnergyEfficient |
P27882
|
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: [Lubuntu, isEnergyEfficient, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEnergyEfficient Context triple: [Lubuntu, isEnergyEfficient, true]
-
A.
energyEfficiencyFeature
chosen
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
-
B.
energyEfficiencyClass
Indicates the energy efficiency rating category assigned to an item, typically reflecting how efficiently it uses or conserves energy relative to defined standards.
-
C.
hasDesignEnergy
Indicates that an entity possesses a specified amount or level of design-related energy (e.g., energy requirement or consumption determined during the design phase).
-
D.
energyUtilization
Indicates how effectively an entity uses available energy to perform work or sustain its functions.
-
E.
designEnergy
Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64f7100c081909230c6172795f3ab |
completed | May 2, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:09 a.m.