Triple
T36928461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betaab |
E913414
|
entity |
| Predicate | hasNotableLocationNamedAfterFilm |
—
|
GENERATED |
| Object | Betaab Valley |
—
|
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: hasNotableLocationNamedAfterFilm Context triple: [Betaab, hasNotableLocationNamedAfterFilm, Betaab Valley]
-
A.
notableFilmingLocation
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
B.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
C.
hasPlaceNamesakeIn
Indicates that something is named after a particular place or location.
-
D.
hasFictionalLocation
Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
-
E.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.