Triple
T7032972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 80486 |
E163312
|
entity |
| Predicate | SXVariantFeature |
P29386
|
FINISHED |
| Object | FPU disabled or absent |
—
|
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: FPU disabled or absent | Statement: [Intel 80486, SXVariantFeature, FPU disabled or absent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SXVariantFeature Context triple: [Intel 80486, SXVariantFeature, FPU disabled or absent]
-
A.
namedFeature
Indicates that an entity has a specific feature or attribute that is explicitly given a name.
-
B.
annexDFeature
Indicates that one entity includes or incorporates another entity as a feature defined or specified in Annex D.
-
C.
skeletonFeature
Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
-
D.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
E.
isFeatureOf
chosen
Indicates that something functions as a characteristic, attribute, or component belonging to or describing 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.