Triple
T33398485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatever/Whenever concierge service |
E855231
|
entity |
| Predicate | typicalRequestType |
—
|
GENERATED |
| Object | restaurant reservations |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRequestType Context triple: [Whatever/Whenever concierge service, typicalRequestType, restaurant reservations]
-
A.
requestType
chosen
Indicates the specific kind or category of request being made in an interaction or transaction.
-
B.
typicalTargetType
Indicates the usual or most common type or category of entity that serves as the target or recipient in a given relationship or action.
-
C.
typicalRequirement
Indicates that one entity is a standard or commonly expected prerequisite, condition, or necessity for another entity.
-
D.
requirementType
Indicates the specific category or classification of a given requirement within a broader requirements framework or system.
-
E.
typicalVisitType
Indicates the usual or most common category of visit associated with an entity or event.
- F. None of above.
Provenance (1 batch)
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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.