Triple
T32378557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubs API |
E827350
|
entity |
| Predicate | serverSideBaseClass |
P199172
|
FINISHED |
| Object | Microsoft.AspNet.SignalR.Hub |
—
|
NE NERFINISHED |
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: Microsoft.AspNet.SignalR.Hub | Statement: [Hubs API, serverSideBaseClass, Microsoft.AspNet.SignalR.Hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serverSideBaseClass Context triple: [Hubs API, serverSideBaseClass, Microsoft.AspNet.SignalR.Hub]
-
A.
sisterBase
Indicates that one entity is the sister of another, sharing at least one parent and being female relative to the other entity.
-
B.
servedClass
Indicates that one entity provides service or attention specifically to another entity belonging to a particular class or category.
-
C.
serverBehavior
Indicates how a server responds to requests or events, including its actions, rules, and patterns of operation in a given context.
-
D.
typicalServer
Indicates that an entity functions as a standard or representative example of a server within a given context or system.
-
E.
servantClass
Indicates that one entity serves another in a subordinate or service-oriented role or category.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
| PDg | Predicate description generation | batch_69ff246d53cc81909d5528224149b04b |
completed | May 9, 2026, 12:11 p.m. |
Created at: May 1, 2026, 12:51 a.m.