Triple
T1186573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wi‑Fi 6E |
E25260
|
entity |
| Predicate | numberOfAdditionalChannels |
P25022
|
FINISHED |
| Object | up to 59 20‑MHz channels (region‑dependent) |
—
|
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: up to 59 20‑MHz channels (region‑dependent) | Statement: [Wi‑Fi 6E, numberOfAdditionalChannels, up to 59 20‑MHz channels (region‑dependent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAdditionalChannels Context triple: [Wi‑Fi 6E, numberOfAdditionalChannels, up to 59 20‑MHz channels (region‑dependent)]
-
A.
audioChannels
Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
-
B.
hasSisterChannel
Indicates that one media channel is related to another as its sister channel, typically under common ownership or branding.
-
C.
numberOfAntennasInitial
Indicates the initial count of antennas associated with an entity before any changes or updates occur.
-
D.
numberOfTerminals
Indicates the total count of terminal points or endpoints associated with an entity.
-
E.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given entity.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd5578b08190bbe4089857fbf166 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.