Triple
T22233233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP TS 29.272 |
E549521
|
entity |
| Predicate | definesRoleOfNode |
P8683
|
FINISHED |
| Object | MME as Diameter client |
—
|
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: MME as Diameter client | Statement: [3GPP TS 29.272, definesRoleOfNode, MME as Diameter client]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesRoleOfNode Context triple: [3GPP TS 29.272, definesRoleOfNode, MME as Diameter client]
-
A.
definesRole
chosen
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given context.
-
B.
CompositeNodeRole
Indicates a role that an entity plays as part of a larger composite structure or node within a system.
-
C.
definingRoleFor
Indicates that one entity serves as the primary defining role, function, or capacity for another entity within a given context.
-
D.
settingOfRole
Indicates the context, environment, or situation in which a particular role is performed or holds relevance.
-
E.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf4e0348190b755a9ac0bc96cdd |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.