Triple
T7361509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavaria Film |
E169759
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Bavaria Filmstadt |
E658040
|
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: Bavaria Filmstadt | Statement: [Bavaria Film, operates, Bavaria Filmstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bavaria Filmstadt Context triple: [Bavaria Film, operates, Bavaria Filmstadt]
-
A.
Bavaria Filmstadt
chosen
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.
-
B.
Bayerisch Eisenstein
Bayerisch Eisenstein is a Bavarian village in the Bavarian Forest known for its unique railway station that straddles the German-Czech border and serves as a key cross-border transit point.
-
C.
Bad Kissingen
Bad Kissingen is a historic spa town in northern Bavaria, Germany, renowned for its mineral springs and 19th-century wellness resorts.
-
D.
Filmstaden Bergakungen
Filmstaden Bergakungen is a large, modern cinema complex in Gothenburg, Sweden, known for its multiple screens and premium movie-going experience.
-
E.
Bad Godesberg
Bad Godesberg is a district in the city of Bonn, Germany, known for its affluent residential areas, former diplomatic missions, and scenic location along the Rhine River.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15e0280819086627cef15fe18bd |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b90cc081908b15e61921d15b92 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:06 p.m.