Triple
T28095295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Core i5-8200Y |
E710070
|
entity |
| Predicate | thermalDesignPower |
P18503
|
FINISHED |
| Object | 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: 5 W | Statement: [Intel Core i5-8200Y, thermalDesignPower, 5 W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalDesignPower Context triple: [Intel Core i5-8200Y, thermalDesignPower, 5 W]
-
A.
thermalPower
chosen
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
-
B.
powerDensity
Indicates the amount of power distributed per unit area or volume in a given context.
-
C.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
-
D.
thermalControl
Indicates a relationship where one entity regulates, adjusts, or maintains the temperature or thermal conditions of another entity or environment.
-
E.
targetTDPRange
Indicates the specified thermal design power (TDP) range that a component or system is intended or required to operate within.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6408cad708190a33ba9d5f6b74bd1 |
completed | May 2, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:01 p.m.