Triple
T17799221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.723.1 |
E444376
|
entity |
| Predicate | samplingType |
P128961
|
FINISHED |
| Object | narrowband |
—
|
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: narrowband | Statement: [G.723.1, samplingType, narrowband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplingType Context triple: [G.723.1, samplingType, narrowband]
-
A.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
B.
samplingStyle
Indicates the method or manner in which something is sampled or selected from a larger set or population.
-
C.
samplingSource
Indicates that one entity serves as the origin or provider from which another entity is sampled or drawn.
-
D.
samplingDesign
Indicates the method or scheme used to select samples from a population for observation or measurement.
-
E.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:13 a.m.