Triple
T25425940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 430FX chipset |
E637114
|
entity |
| Predicate | supportsSIMMType |
P178561
|
FINISHED |
| Object | 72-pin SIMM |
—
|
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: 72-pin SIMM | Statement: [Intel 430FX chipset, supportsSIMMType, 72-pin SIMM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSIMMType Context triple: [Intel 430FX chipset, supportsSIMMType, 72-pin SIMM]
-
A.
supportsMemoryBusWidth
Indicates that one entity is compatible with or able to operate using the specified memory bus width of another entity.
-
B.
supportsECCMemory
Indicates that one entity provides compatibility with or the capability to use ECC (Error-Correcting Code) memory in relation to another entity.
-
C.
supportsSIMInstruction
Indicates that one entity is capable of handling or executing a specified SIM (Subscriber Identity Module) instruction for another entity.
-
D.
supportsMemoryParity
Indicates that one entity provides or enables memory parity protection or compatibility for another entity’s memory operations.
-
E.
motherboardsSupport
Indicates that certain motherboards are compatible with and can properly support the specified components or technologies.
- 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_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 21, 2026, 1:57 p.m.