Triple
T21224214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP TS 23.272 |
E523049
|
entity |
| Predicate | specificationArea |
P143266
|
FINISHED |
| Object | system architecture |
—
|
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: system architecture | Statement: [3GPP TS 23.272, specificationArea, system architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specificationArea Context triple: [3GPP TS 23.272, specificationArea, system architecture]
-
A.
designedArea
Indicates that an area has been intentionally planned, shaped, or configured according to a specific design or purpose.
-
B.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
C.
coreAreaCharacteristic
Indicates that a characteristic or feature is specifically associated with the core area of something, rather than its peripheral or secondary parts.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:44 p.m.