Triple
T35131525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Arconia |
E1014447
|
entity |
| Predicate | hasFilmingLocationType |
P44217
|
FINISHED |
| Object | exterior shots at real building |
—
|
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: exterior shots at real building | Statement: [the Arconia, hasFilmingLocationType, exterior shots at real building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmingLocationType Context triple: [the Arconia, hasFilmingLocationType, exterior shots at real building]
-
A.
filmingLocationPattern
Indicates the typical or recurring geographic pattern of locations where filming for a production takes place.
-
B.
filmingLocationContext
chosen
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
C.
notableFilmingLocation
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
D.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
E.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: May 3, 2026, 4:02 p.m.