Triple
T25741708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 7 |
E648234
|
entity |
| Predicate | approximateTransistorDensity_nmClass |
P170612
|
FINISHED |
| Object | ~7 nm class (marketing) |
—
|
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: ~7 nm class (marketing) | Statement: [Intel 7, approximateTransistorDensity_nmClass, ~7 nm class (marketing)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTransistorDensity_nmClass Context triple: [Intel 7, approximateTransistorDensity_nmClass, ~7 nm class (marketing)]
-
A.
transistorCountApprox
Indicates an approximate relationship specifying the estimated number of transistors associated with an entity.
-
B.
transistorCount
Indicates the number of transistors contained within an electronic component or device.
-
C.
transistorType
Indicates the specific kind or category of transistor associated with an entity (e.g., BJT, MOSFET, JFET).
-
D.
operatingFrequencyApproximate
Indicates an approximate or estimated operating frequency at which an entity functions or is designed to function.
-
E.
usedSemiconductorType
Indicates that one entity employs or incorporates a specific type of semiconductor in its design, construction, or operation.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 22, 2026, 3:45 a.m.