Triple
T21224229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP TS 23.272 |
E523049
|
entity |
| Predicate | definesArchitectureAspect |
P61123
|
FINISHED |
| Object | CS fallback from LTE to 2G/3G for voice calls |
—
|
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: CS fallback from LTE to 2G/3G for voice calls | Statement: [3GPP TS 23.272, definesArchitectureAspect, CS fallback from LTE to 2G/3G for voice calls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesArchitectureAspect Context triple: [3GPP TS 23.272, definesArchitectureAspect, CS fallback from LTE to 2G/3G for voice calls]
-
A.
coversAspect
chosen
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
B.
architectInstanceOf
Indicates that an architect is an instance or specific example of a more general architect class or type.
-
C.
hasArchitectureBy
Indicates that an entity’s architectural design was created or authored by a specified architect or architectural firm.
-
D.
typeOfAspect
Indicates that one aspect is a specific kind or category of another, more general aspect.
-
E.
usesArchitectureComponent
Indicates that one entity employs or incorporates a specific architecture component as part of its structure, design, or implementation.
- 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_69e734a9c9f88190817b574f916886e5 |
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.