Triple
T22688251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTE-WLAN Aggregation |
E560976
|
entity |
| Predicate | trafficSplitAt |
P148403
|
FINISHED |
| Object | PDCP layer in eNodeB |
—
|
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: PDCP layer in eNodeB | Statement: [LTE-WLAN Aggregation, trafficSplitAt, PDCP layer in eNodeB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trafficSplitAt Context triple: [LTE-WLAN Aggregation, trafficSplitAt, PDCP layer in eNodeB]
-
A.
routesTrafficThrough
chosen
Indicates that network traffic originating from one entity is directed to pass through another entity as an intermediate path or conduit.
-
B.
locationSplit
Indicates that an entity is divided or distributed across multiple distinct locations.
-
C.
trafficDirection
Indicates the direction in which traffic is intended or allowed to move relative to a given reference point or segment.
-
D.
trafficSeparation
Indicates a relationship where movement or flow is organized into distinct, non-overlapping paths or zones to prevent interference or collisions.
-
E.
trafficType
Indicates the category or nature of traffic involved in a given interaction, flow, or connection (e.g., type of network, data, or transport traffic).
- 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_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. |
Created at: April 17, 2026, 3:13 p.m.