Triple
T18293143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITU-T Recommendation G.992.1 |
E438164
|
entity |
| Predicate | allocatesFrequencyBand |
P1685
|
FINISHED |
| Object | voice band for POTS |
—
|
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: voice band for POTS | Statement: [ITU-T Recommendation G.992.1, allocatesFrequencyBand, voice band for POTS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocatesFrequencyBand Context triple: [ITU-T Recommendation G.992.1, allocatesFrequencyBand, voice band for POTS]
-
A.
frequencyBand
chosen
Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
-
B.
numberOfFrequencyBands
Indicates the relationship specifying how many distinct frequency bands are associated with or used by an entity.
-
C.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
D.
usesFrequencyReuse
Indicates that one entity applies the technique of reusing the same frequency channels across different locations or cells within a system or network.
-
E.
allocatesFrom
Indicates that a resource, portion, or share is assigned or taken from a specified source or pool.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50100d6488190bbe73668df9c4046 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.