Triple
T25425938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 430FX chipset |
E637114
|
entity |
| Predicate | supportsMemoryBusWidth |
P177997
|
FINISHED |
| Object | 64-bit |
—
|
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: 64-bit | Statement: [Intel 430FX chipset, supportsMemoryBusWidth, 64-bit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMemoryBusWidth Context triple: [Intel 430FX chipset, supportsMemoryBusWidth, 64-bit]
-
A.
L2CacheBusWidth
Indicates the width of the data bus used to connect to the Level 2 (L2) cache, typically measured in bits.
-
B.
memoryBandwidth
Indicates the rate at which data can be transferred to or from a memory system over a given period of time.
-
C.
busWidthComparedToISA
Indicates how the width of a bus compares to the width defined by a given instruction set architecture (ISA), such as being wider, narrower, or equal.
-
D.
supportsBusSpeed
Indicates that one entity is capable of operating at, or is compatible with, a specified bus communication speed of another entity.
-
E.
supportsECCMemory
Indicates that one entity provides compatibility with or the capability to use ECC (Error-Correcting Code) memory in relation to another entity.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 21, 2026, 1:57 p.m.