Triple
T7116535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Duron |
E165833
|
entity |
| Predicate | frontSideBusSpeed |
P31519
|
FINISHED |
| Object | 100 MHz |
—
|
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: 100 MHz | Statement: [AMD Duron, frontSideBusSpeed, 100 MHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontSideBusSpeed Context triple: [AMD Duron, frontSideBusSpeed, 100 MHz]
-
A.
supportsBusSpeed
chosen
Indicates that one entity is capable of operating at, or is compatible with, a specified bus communication speed of another entity.
-
B.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
C.
frontLength
Indicates the length measurement of the front side or edge of an object relative to its overall dimensions.
-
D.
frontSector
Indicates that one entity is located in the forward-facing sector or region relative to another entity.
-
E.
frontEnginePosition
Indicates that the engine of a vehicle is located at the front portion of the vehicle.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e617a528819085d4b8e1b5699966 |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.