Triple
T18059903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SF Sergel |
E432142
|
entity |
| Predicate | formerNameOf |
P65
|
FINISHED |
| Object | Filmstaden Sergel |
—
|
NE NERFINISHED |
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 Sergel | Statement: [SF Sergel, formerNameOf, Filmstaden Sergel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filmstaden Sergel Context triple: [SF Sergel, formerNameOf, Filmstaden Sergel]
-
A.
Filmstaden Sergel
chosen
Filmstaden Sergel is a large, modern multiplex cinema in central Stockholm known for showing mainstream films and hosting major movie premieres.
-
B.
Filmstaden Bergakungen
Filmstaden Bergakungen is a large, modern cinema complex in Gothenburg, Sweden, known for its multiple screens and premium movie-going experience.
-
C.
Opernring
Opernring is a prominent section of Vienna’s Ringstrasse boulevard that runs past the Vienna State Opera and several other notable cultural and historic buildings.
-
D.
Folkparken
Folkparken is a prominent public park in Norrköping, Sweden, known as a central green space for recreation and community events.
-
E.
Bavaria Filmstadt
Bavaria Filmstadt is a film-themed visitor attraction and studio tour in Munich where guests can explore sets, props, and behind-the-scenes aspects of movie and television production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.