Triple
T5347066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RADIUS |
E124082
|
entity |
| Predicate | serverTypicallyIs |
P34890
|
FINISHED |
| Object | AAA server |
—
|
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: AAA server | Statement: [RADIUS, serverTypicallyIs, AAA server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serverTypicallyIs Context triple: [RADIUS, serverTypicallyIs, AAA server]
-
A.
typicalServer
chosen
Indicates that an entity functions as a standard or representative example of a server within a given context or system.
-
B.
serverName
Indicates the relationship where a server is identified or labeled by a specific name.
-
C.
hostType
Indicates the category or kind of host associated with or responsible for the related entity or activity.
-
D.
isServedOn
Indicates that one item (typically food or drink) is presented or provided atop or together with a particular surface, container, or accompaniment.
-
E.
siteTypeServed
Indicates the type of site or location that is served, supported, or handled by a given entity or resource.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ede7c481908347d557aa4d19ad |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.