Triple
T21224393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Term Evolution for Machines |
E523052
|
entity |
| Predicate | supportsPowerSavingMode |
P113509
|
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: [Long Term Evolution for Machines, supportsPowerSavingMode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPowerSavingMode Context triple: [Long Term Evolution for Machines, supportsPowerSavingMode, true]
-
A.
powerManagementFeatures
chosen
Indicates that one entity provides, supports, or is associated with capabilities for controlling, optimizing, or conserving the power usage 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.
powerOptimizationFor
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
-
D.
powerCondition
Indicates that one entity’s ability to function, operate, or exert influence depends on a specified power-related requirement or state being satisfied.
-
E.
supportedPower
Indicates that an entity is capable of providing, handling, or operating at a specified level or range of power.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734a9c9f88190817b574f916886e5 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.