Triple
T4093929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAS machine |
E87767
|
entity |
| Predicate | clockFrequency |
P8610
|
FINISHED |
| Object | about 100 kHz |
—
|
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: about 100 kHz | Statement: [IAS machine, clockFrequency, about 100 kHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clockFrequency Context triple: [IAS machine, clockFrequency, about 100 kHz]
-
A.
clockSpeed
chosen
Indicates the operating frequency at which a clock-driven component (such as a processor) performs its cycles or operations over time.
-
B.
hasClockSpeed
Indicates that an entity (typically a processor or device) operates at a specified clock frequency or speed.
-
C.
hasInternalFrequencyCompensation
Indicates that an electronic component or circuit includes built-in circuitry to stabilize its frequency response without requiring external compensation components.
-
D.
clockType
Indicates the type or category of a clock associated with an entity (e.g., analog, digital, system clock, etc.).
-
E.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcda2f408190bcf2b64535193162 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.