Triple
T38309146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TR4 |
E1033637
|
entity |
| Predicate | supportsCoreCounts |
P193178
|
FINISHED |
| Object | large core counts |
—
|
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: large core counts | Statement: [TR4, supportsCoreCounts, large core counts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCoreCounts Context triple: [TR4, supportsCoreCounts, large core counts]
-
A.
supportsCoreCountUpTo
Indicates that an entity is capable of functioning correctly with, or providing compatibility for, processor configurations up to a specified maximum number of cores.
-
B.
supportsProcessorCoreCount
chosen
Indicates that one entity is compatible with or able to operate using a specified number of processor cores in another entity.
-
C.
supportsDeviceCount
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
D.
hasCPUCore
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
-
E.
bigCoreCount
Indicates that an entity (such as a processor or system) has a relatively large number of cores compared to a typical or baseline configuration.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.