Triple
T6358514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringbahn (Berlin) |
E143051
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Frankfurter Allee
Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
|
E598352
|
NE FINISHED |
How this triple was built (4 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: Frankfurter Allee | Statement: [Ringbahn (Berlin), hasStation, Frankfurter Allee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankfurter Allee Context triple: [Ringbahn (Berlin), hasStation, Frankfurter Allee]
-
A.
Kurfürstenallee
Kurfürstenallee is a notable avenue in the Bonn district of Bad Godesberg, known for its upscale residential character and historic villas.
-
B.
Gneisenaustraße
Gneisenaustraße is a Berlin U-Bahn station on line U7 located in the Kreuzberg district.
-
C.
Berliner Straße
Berliner Straße is a major Berlin U-Bahn station complex in the district of Wilmersdorf, serving as a key transfer point between multiple subway lines.
-
D.
Eisenacher Straße
Eisenacher Straße is a street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés in the Schöneberg district.
-
E.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frankfurter Allee Triple: [Ringbahn (Berlin), hasStation, Frankfurter Allee]
Generated description
Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frankfurter Allee Target entity description: Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
-
A.
Kurfürstenallee
Kurfürstenallee is a notable avenue in the Bonn district of Bad Godesberg, known for its upscale residential character and historic villas.
-
B.
Gneisenaustraße
Gneisenaustraße is a Berlin U-Bahn station on line U7 located in the Kreuzberg district.
-
C.
Berliner Straße
Berliner Straße is a major Berlin U-Bahn station complex in the district of Wilmersdorf, serving as a key transfer point between multiple subway lines.
-
D.
Eisenacher Straße
Eisenacher Straße is a street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés in the Schöneberg district.
-
E.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
- F. None of above. chosen
Provenance (5 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f72f8481908f9df0c0cdf22a52 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673f891d08190ad10070bc3a71d76 |
completed | March 27, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69c6752367a88190a6ba15fa42c88b65 |
completed | March 27, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c67580122c81909a1bf40aee9ab9c6 |
completed | March 27, 2026, 12:18 p.m. |
Created at: March 22, 2026, 4:32 p.m.