Triple
T8414329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVME147 |
E198696
|
entity |
| Predicate | hasFPU |
P182
|
FINISHED |
| Object | optional 68882 |
—
|
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: optional 68882 | Statement: [MVME147, hasFPU, optional 68882]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFPU Context triple: [MVME147, hasFPU, optional 68882]
-
A.
supportsAVX
Indicates that one entity provides or is compatible with AVX (Advanced Vector Extensions) functionality for another entity or operation.
-
B.
hasCPUCore
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
-
C.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
D.
supportsAVX2
Indicates that one entity provides or has compatibility with AVX2 (Advanced Vector Extensions 2) instruction set capabilities for another.
-
E.
supportsIntel64
Indicates that one entity provides compatibility with or operational support for Intel 64-bit (x86-64) architecture in relation to another entity.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.