Triple
T1015924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wi‑Fi CERTIFIED 6 |
E21928
|
entity |
| Predicate | certificationScope |
P23438
|
FINISHED |
| Object | MAC layer enhancements of 802.11ax |
—
|
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: MAC layer enhancements of 802.11ax | Statement: [Wi‑Fi CERTIFIED 6, certificationScope, MAC layer enhancements of 802.11ax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationScope Context triple: [Wi‑Fi CERTIFIED 6, certificationScope, MAC layer enhancements of 802.11ax]
-
A.
scopeOfAccreditation
Indicates the specific range, domains, or activities for which an entity’s accreditation or formal recognition is valid and applicable.
-
B.
standardizationScope
Indicates the extent or domain within which a standard or standardization effort is intended to apply or be enforced.
-
C.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
D.
identificationScope
Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
-
E.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c1e9d08190baf7e81f3777168d |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7a0d0308190a00192aa9062bdaa |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.