Triple
T7980184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Core m3-8100Y |
E185550
|
entity |
| Predicate | graphicsBaseFrequency |
P80137
|
FINISHED |
| Object | 300 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: 300 MHz | Statement: [Intel Core m3-8100Y, graphicsBaseFrequency, 300 MHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsBaseFrequency Context triple: [Intel Core m3-8100Y, graphicsBaseFrequency, 300 MHz]
-
A.
clockShowFrequency
Indicates how often a clock or time display is shown or updated within a given context.
-
B.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
C.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
D.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
E.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
- F. None of above. chosen
Provenance (4 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:14 p.m.