Triple
T21225520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SGW |
E523075
|
entity |
| Predicate | belongsToPlane |
P64245
|
FINISHED |
| Object | user plane |
—
|
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: user plane | Statement: [SGW, belongsToPlane, user plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPlane Context triple: [SGW, belongsToPlane, user plane]
-
A.
associatedPlane
chosen
Indicates a relationship where one entity is linked or connected to a specific plane, typically as the plane it uses, refers to, or is defined with respect to.
-
B.
belongsToPlatform
Indicates that something is associated with, owned by, or part of a particular platform.
-
C.
belongsToSegment
Indicates that an entity is a member of, or associated with, a specific segment or subgroup within a larger set.
-
D.
belongsToBlock
Indicates that something is a member or component of a specific block or grouping.
-
E.
belongsToAirport
Indicates that one entity is part of, associated with, or under the jurisdiction of a specific airport.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734aa82c4819086cef6364619b4e9 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.