Triple
T13799656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmstaden Bergakungen |
E331605
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Filmstaden |
E331605
|
NE 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: Filmstaden | Statement: [Filmstaden Bergakungen, operator, Filmstaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filmstaden Context triple: [Filmstaden Bergakungen, operator, Filmstaden]
-
A.
Filmstaden Sergel
Filmstaden Sergel is a large, modern multiplex cinema in central Stockholm known for showing mainstream films and hosting major movie premieres.
-
B.
Filmstaden Bergakungen
chosen
Filmstaden Bergakungen is a large, modern cinema complex in Gothenburg, Sweden, known for its multiple screens and premium movie-going experience.
-
C.
City of Film
City of Film is a UNESCO Creative Cities Network title awarded to cities recognized for their rich film heritage, active film industry, and strong commitment to cinema-related culture and education.
-
D.
Film City
Film City is a major media and entertainment production hub in Noida, housing numerous television studios, news channels, and film production facilities.
-
E.
Filmhaus
Filmhaus is a film production company known for producing the psychological thriller "House of Games."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0893a20819081d4001b8dbc9c36 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.