Triple
T25425953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 430FX chipset |
E637114
|
entity |
| Predicate | supportsCacheableMemorySize |
P178996
|
FINISHED |
| Object | up to 64 MB (typical) |
—
|
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: up to 64 MB (typical) | Statement: [Intel 430FX chipset, supportsCacheableMemorySize, up to 64 MB (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCacheableMemorySize Context triple: [Intel 430FX chipset, supportsCacheableMemorySize, up to 64 MB (typical)]
-
A.
mayBeCached
Indicates that the result of an operation or data retrieval is allowed to be stored for potential reuse in a cache.
-
B.
supportsDynamicCaching
Indicates that an entity is capable of enabling or handling caching behavior that can change or be configured dynamically at runtime.
-
C.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
D.
supportsL1Cache
Indicates that one entity provides or is compatible with Level 1 (L1) cache functionality for another entity.
-
E.
hasOnChipCache
Indicates that one hardware component includes an integrated cache memory directly on the same chip.
- 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_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 21, 2026, 1:57 p.m.