Triple
T14268307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UltraSPARC T2 |
E353708
|
entity |
| Predicate | powerManagementFeatures |
P113509
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [UltraSPARC T2, powerManagementFeatures, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerManagementFeatures Context triple: [UltraSPARC T2, powerManagementFeatures, yes]
-
A.
powerOption
Indicates that one entity provides or specifies a particular power-related configuration or choice available to another entity.
-
B.
powerStatus
Indicates whether an entity is currently powered on, off, or in another defined power state.
-
C.
powerCharacteristic
Indicates a relationship where one entity has a specific power-related property, capacity, or performance attribute characterized by the other entity.
-
D.
powerOptimizationFor
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
-
E.
powerSupplyCapability
Indicates the ability of one entity to provide electrical power to another entity or system.
- F. None of above. chosen
Provenance (4 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.