Triple
T25550472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVX-512 |
E640424
|
entity |
| Predicate | detectableVia |
P156114
|
FINISHED |
| Object | CPUID instruction |
—
|
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: CPUID instruction | Statement: [AVX-512, detectableVia, CPUID instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectableVia Context triple: [AVX-512, detectableVia, CPUID instruction]
-
A.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
-
B.
hasModeOfDetection
chosen
Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
-
C.
aimsToDetect
Indicates an intention or designed purpose to discover, identify, or recognize the presence or characteristics of something.
-
D.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
E.
canBeDissectedBy
Indicates that one entity is capable of being divided or analyzed into parts by another entity or method.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8c583e48190a2a1f65d80a2b589 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:36 p.m.