Triple
T1177524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wi‑Fi 6 |
E25061
|
entity |
| Predicate | maxSpatialStreams |
P26271
|
FINISHED |
| Object | 8 |
—
|
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 | Statement: [Wi‑Fi 6, maxSpatialStreams, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxSpatialStreams Context triple: [Wi‑Fi 6, maxSpatialStreams, 8]
-
A.
multipleAccessSchemeUplink
Indicates that the uplink communication uses multiple access schemes to allow multiple users or signals to share the same transmission resources.
-
B.
multipleAccessSchemeDownlink
Indicates that the downlink transmission uses more than one access scheme simultaneously or in combination.
-
C.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
D.
maximumStationsPerSegment
Indicates the greatest number of stations that are allowed or can exist within a single segment.
-
E.
maxDevicesPerBus
Indicates the maximum number of devices that are allowed to be connected to a single bus.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd52177081908c5cec8e731b836e |
completed | March 1, 2026, 10:27 p.m. |
Created at: March 1, 2026, 7:45 p.m.