Triple
T22688216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Licensed Assisted Access |
E560975
|
entity |
| Predicate | usesSpectrumAccessModel |
P149256
|
FINISHED |
| Object | shared access in unlicensed bands |
—
|
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: shared access in unlicensed bands | Statement: [Licensed Assisted Access, usesSpectrumAccessModel, shared access in unlicensed bands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSpectrumAccessModel Context triple: [Licensed Assisted Access, usesSpectrumAccessModel, shared access in unlicensed bands]
-
A.
hasSpectrumRole
Indicates that an entity holds a specific role, function, or responsibility within a defined spectrum-related context or framework.
-
B.
usesAcquisitionModel
Indicates that one entity employs or applies a particular acquisition model as the method or framework for obtaining something.
-
C.
usesCapabilityModel
Indicates that one entity employs or relies on a specific capability model to perform its functions or make decisions.
-
D.
supportsAccessModel
Indicates that one entity enables, permits, or is compatible with a particular access model used by another entity.
-
E.
usesLicensingModel
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178983fc8819080aa00e45ff77952 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.