Triple
T21226450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nudm |
E523095
|
entity |
| Predicate | usesServiceBasedArchitecture |
P143281
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nudm, usesServiceBasedArchitecture, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesServiceBasedArchitecture Context triple: [Nudm, usesServiceBasedArchitecture, true]
-
A.
usesInfrastructure
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
B.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
-
C.
servicePatternInfluenced
Indicates that the characteristics or structure of a service pattern are affected or shaped by another factor, entity, or condition.
-
D.
serviceComposition
Indicates that one service is formed by combining or orchestrating multiple other services to function together as a unified whole.
-
E.
usesServiceDesignation
Indicates that one entity adopts or applies a particular service designation associated with another entity or offering.
- 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_69e734ab3f6c819083e277ea1c33134e |
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.