Triple
T35709406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un bon bock |
E1031810
|
entity |
| Predicate | firstScreeningCity |
—
|
GENERATED |
| Object | Paris |
—
|
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: firstScreeningCity Context triple: [Un bon bock, firstScreeningCity, Paris]
-
A.
firstScreeningLocation
Indicates the location where something (such as a person, item, or case) is initially screened or evaluated for the first time.
-
B.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
-
C.
firstSeasonCity
Indicates that a city is the location where a sports team played its first season.
-
D.
filmingLocationCity
Indicates the city where the filming or recording of a work took place.
-
E.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.