Triple
T4402413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.711 |
E93646
|
entity |
| Predicate | sampleSize |
P55466
|
FINISHED |
| Object | 8 bits per sample |
—
|
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: 8 bits per sample | Statement: [G.711, sampleSize, 8 bits per sample]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleSize Context triple: [G.711, sampleSize, 8 bits per sample]
-
A.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
B.
seedSize
Indicates the relative magnitude or dimensions of a seed in comparison to others or to a standard.
-
C.
collectionSize
Indicates the total number of items contained within a specified collection.
-
D.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
-
E.
trainingSetSize
Indicates the number of examples or instances included in a dataset used to train a model or system.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d08a0c8190ac6c125df40eca75 |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:28 p.m.