Triple
T31509647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabernas Desert |
E803906
|
entity |
| Predicate | notableFilmShotIn |
—
|
GENERATED |
| Object | The Good, the Bad and the Ugly |
—
|
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: notableFilmShotIn Context triple: [Tabernas Desert, notableFilmShotIn, The Good, the Bad and the Ugly]
-
A.
notableFilmingLocation
chosen
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
B.
cinematographyNotedFor
Indicates that the subject’s cinematography is especially recognized or distinguished for the object (such as a particular work, style, or notable quality).
-
C.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
D.
shotIn
Indicates that an event, scene, or media production was filmed or recorded at a particular location.
-
E.
placeOfShooting
Indicates the location where a shooting event took place.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 9:49 p.m.