Triple
T23015006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Grunewald |
E573008
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Grunewald district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Grunewald district | Statement: [Berlin Grunewald, locatedIn, Grunewald district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grunewald district Context triple: [Berlin Grunewald, locatedIn, Grunewald district]
-
A.
Schöneberg district
Schöneberg district is a central borough of Berlin, Germany, known for its vibrant cultural scene, historical significance, and diverse urban neighborhoods.
-
B.
Bohnenviertel
Bohnenviertel is a historic quarter in central Stuttgart known for its narrow streets, traditional houses, and vibrant mix of small shops, bars, and restaurants.
-
C.
Harburg district
Harburg district is a rural administrative district in Lower Saxony, Germany, located south of Hamburg and known for its mix of agricultural areas, forests, and commuter towns.
-
D.
Marienviertel
Marienviertel is a historic quarter in the old town of Berlin, Germany, known for its medieval origins and proximity to key civic buildings.
-
E.
Lichtenberg district
Lichtenberg district is a borough of Berlin, Germany, known for its mix of residential areas, historical sites, and former East German administrative and industrial zones.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grunewald district Target entity description: Grunewald district is a wealthy, villa-lined residential area in western Berlin known for its expansive forest, lakes, and upscale ambiance.
-
A.
Schöneberg district
Schöneberg district is a central borough of Berlin, Germany, known for its vibrant cultural scene, historical significance, and diverse urban neighborhoods.
-
B.
Bohnenviertel
Bohnenviertel is a historic quarter in central Stuttgart known for its narrow streets, traditional houses, and vibrant mix of small shops, bars, and restaurants.
-
C.
Harburg district
Harburg district is a rural administrative district in Lower Saxony, Germany, located south of Hamburg and known for its mix of agricultural areas, forests, and commuter towns.
-
D.
Marienviertel
Marienviertel is a historic quarter in the old town of Berlin, Germany, known for its medieval origins and proximity to key civic buildings.
-
E.
Lichtenberg district
Lichtenberg district is a borough of Berlin, Germany, known for its mix of residential areas, historical sites, and former East German administrative and industrial zones.
- F. None of above. chosen
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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e3c0e08190a7ac747b056ec3ca |
completed | April 29, 2026, 4:06 a.m. |
Created at: April 17, 2026, 3:51 p.m.