Triple
T32377558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Pentium Gold 4415Y |
E827330
|
entity |
| Predicate | scenarioDesignPower |
P30474
|
FINISHED |
| Object | 4.5 W |
—
|
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: 4.5 W | Statement: [Intel Pentium Gold 4415Y, scenarioDesignPower, 4.5 W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scenarioDesignPower Context triple: [Intel Pentium Gold 4415Y, scenarioDesignPower, 4.5 W]
-
A.
samplingDesign
Indicates the method or scheme used to select samples from a population for observation or measurement.
-
B.
studyDesign
Indicates the type or structure of the research methodology or experimental setup used in a study.
-
C.
trialDesign
Indicates the specific structure, methodology, and procedural plan according to which a trial or experiment is conducted.
-
D.
intendedPower
chosen
Indicates the level or amount of power that an entity is designed, planned, or expected to produce, use, or deliver under intended operating conditions.
-
E.
parallelDesignTo
Indicates that one design is parallel or analogous to another in structure, function, or conceptual approach.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c13196108190bfb822e6a3584df4 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:51 a.m.