Triple
T17917560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prenzlauer Berg |
E447971
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Kollwitzplatz
Kollwitzplatz is a well-known square and cultural hub in Berlin’s Prenzlauer Berg district, noted for its lively markets, cafés, and historic architecture.
|
E1329550
|
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: Kollwitzplatz | Statement: [Prenzlauer Berg, hasLandmark, Kollwitzplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kollwitzplatz Context triple: [Prenzlauer Berg, hasLandmark, Kollwitzplatz]
-
A.
Nauener Platz
Nauener Platz is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
-
B.
Kaulbachplatz
Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
-
C.
Hermannplatz
Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
-
D.
Savignyplatz
Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
-
E.
Boxhagener Platz
Boxhagener Platz is a popular square and park in Berlin’s Friedrichshain district, known for its lively weekend flea market, bars, and cafés.
- 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: Kollwitzplatz Triple: [Prenzlauer Berg, hasLandmark, Kollwitzplatz]
Generated description
Kollwitzplatz is a well-known square and cultural hub in Berlin’s Prenzlauer Berg district, noted for its lively markets, cafés, and historic architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kollwitzplatz Target entity description: Kollwitzplatz is a well-known square and cultural hub in Berlin’s Prenzlauer Berg district, noted for its lively markets, cafés, and historic architecture.
-
A.
Nauener Platz
Nauener Platz is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
-
B.
Kaulbachplatz
Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
-
C.
Hermannplatz
Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
-
D.
Savignyplatz
Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
-
E.
Boxhagener Platz
Boxhagener Platz is a popular square and park in Berlin’s Friedrichshain district, known for its lively weekend flea market, bars, and cafés.
- 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_6a049156bfa081909efced087541bcda |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a0492b3bb048190af9b28f3a1d89d7b |
completed | May 13, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049393db308190be7428a534c83ff9 |
completed | May 13, 2026, 3:07 p.m. |
Created at: April 10, 2026, 10:20 a.m.