Triple
T17917574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prenzlauer Berg |
E447971
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Pappelallee
Pappelallee is a notable street in Berlin’s Prenzlauer Berg district, known for its mix of historic buildings, cafés, and local shops.
|
E1366716
|
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: Pappelallee | Statement: [Prenzlauer Berg, hasStreet, Pappelallee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pappelallee Context triple: [Prenzlauer Berg, hasStreet, Pappelallee]
-
A.
Maulbeerallee
Maulbeerallee is a notable street in Potsdam, Germany, running near the Sanssouci Palace park and associated with several historic sites.
-
B.
Poppelsdorfer Allee
Poppelsdorfer Allee is a historic, tree-lined boulevard in Bonn, Germany, known for connecting the city center with Poppelsdorf Palace and its surrounding park.
-
C.
Herrenhäuser Allee
Herrenhäuser Allee is a historic, tree-lined boulevard in Hanover, Germany, forming a prominent axial approach to the Georgengarten and the Herrenhausen Gardens.
-
D.
Strobelallee
Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
-
E.
Frankfurter Allee
Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
- 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: Pappelallee Triple: [Prenzlauer Berg, hasStreet, Pappelallee]
Generated description
Pappelallee is a notable street in Berlin’s Prenzlauer Berg district, known for its mix of historic buildings, cafés, and local shops.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pappelallee Target entity description: Pappelallee is a notable street in Berlin’s Prenzlauer Berg district, known for its mix of historic buildings, cafés, and local shops.
-
A.
Maulbeerallee
Maulbeerallee is a notable street in Potsdam, Germany, running near the Sanssouci Palace park and associated with several historic sites.
-
B.
Poppelsdorfer Allee
Poppelsdorfer Allee is a historic, tree-lined boulevard in Bonn, Germany, known for connecting the city center with Poppelsdorf Palace and its surrounding park.
-
C.
Herrenhäuser Allee
Herrenhäuser Allee is a historic, tree-lined boulevard in Hanover, Germany, forming a prominent axial approach to the Georgengarten and the Herrenhausen Gardens.
-
D.
Strobelallee
Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
-
E.
Frankfurter Allee
Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30778fc81908b5b2e308fb158a5 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705bb08188190b811f03908906732 |
completed | May 15, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_6a07063f12948190909bb5582b8aca5e |
completed | May 15, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0706af26a8819092a88bc386af0dbe |
completed | May 15, 2026, 11:42 a.m. |
Created at: April 10, 2026, 10:20 a.m.