Triple
T22233268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP TS 29.272 |
E549521
|
entity |
| Predicate | definesSecurityAspect |
P46890
|
FINISHED |
| Object | Diameter security requirements for S6a/S6d |
—
|
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: Diameter security requirements for S6a/S6d | Statement: [3GPP TS 29.272, definesSecurityAspect, Diameter security requirements for S6a/S6d]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesSecurityAspect Context triple: [3GPP TS 29.272, definesSecurityAspect, Diameter security requirements for S6a/S6d]
-
A.
securityAspect
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
-
B.
protectedAspect
Indicates that one entity is safeguarded, preserved, or kept safe by another entity or mechanism.
-
C.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
D.
hasPolicyAspect
Indicates that something includes, reflects, or is related to a particular policy-related dimension, feature, or consideration.
-
E.
hasSecurityDimension
chosen
Indicates that something possesses or is associated with a particular aspect or dimension of security.
- 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.