Triple
T32147364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tarte Tatin |
E821055
|
entity |
| Predicate | firstServedAt |
—
|
GENERATED |
| Object | Hotel Tatin |
—
|
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: firstServedAt Context triple: [tarte Tatin, firstServedAt, Hotel Tatin]
-
A.
servedTimeAt
Indicates the specific time period during which an entity was served or received service at a particular place or context.
-
B.
firstTakenAt
Indicates the time or date at which something was initially taken, captured, or recorded for the first time.
-
C.
laterServedIn
Indicates that one entity subsequently held a service position or role in which another entity had previously served.
-
D.
servedTimeFor
Indicates that one entity has completed or spent a specified duration of time serving a sentence, obligation, or term on behalf of another entity or for a particular case or offense.
-
E.
firstServeRule
Indicates the rule or condition that determines which participant or side serves first in a game or match.
- F. None of above. chosen
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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:31 a.m.