Triple
T12755094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bujagali Falls |
E304836
|
entity |
| Predicate | wasFilmedIn |
P31730
|
FINISHED |
| Object | various adventure sports documentaries |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: various adventure sports documentaries | Statement: [Bujagali Falls, wasFilmedIn, various adventure sports documentaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFilmedIn Context triple: [Bujagali Falls, wasFilmedIn, various adventure sports documentaries]
-
A.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
B.
notableFilmingLocation
chosen
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
C.
filmingLocationContext
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
D.
filmingCountry
Indicates the country where the filming or primary production of a work took place.
-
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.
Provenance (3 batches)
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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.