Triple
T7032977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 80486 |
E163312
|
entity |
| Predicate | firstModelClockSpeed |
P5101
|
FINISHED |
| Object | 25 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: 25 MHz | Statement: [Intel 80486, firstModelClockSpeed, 25 MHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstModelClockSpeed Context triple: [Intel 80486, firstModelClockSpeed, 25 MHz]
-
A.
hasClockSpeed
Indicates that an entity (typically a processor or device) operates at a specified clock frequency or speed.
-
B.
firstModel
chosen
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
C.
clockSpeed
Indicates the operating frequency at which a clock-driven component (such as a processor) performs its cycles or operations over time.
-
D.
cpuModel
Indicates the specific processor model associated with a given computing device or system.
-
E.
modelNumber
Indicates that one entity is the specific model identifier or code assigned to another entity (such as a product or device).
- 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.