Triple
T21513335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U8 |
E530781
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Rosenthaler Platz
Rosenthaler Platz is a central Berlin U-Bahn station and busy traffic hub in the Mitte district, known for its surrounding cafés, nightlife, and creative scene.
|
E1498191
|
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: Rosenthaler Platz | Statement: [U8, hasStation, Rosenthaler Platz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosenthaler Platz Context triple: [U8, hasStation, Rosenthaler Platz]
-
A.
Kaulbachplatz
Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
-
B.
Nachtigalplatz
Nachtigalplatz is a public square in Berlin’s Afrikanisches Viertel, known for its controversial colonial-era namesake and its role in debates over decolonizing urban toponymy.
-
C.
Nauener Platz
Nauener Platz is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
-
D.
Lehniner Platz
Lehniner Platz is a public square in Berlin, Germany, known as a cultural hub and transport node in the Charlottenburg district.
-
E.
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.
- 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: Rosenthaler Platz Triple: [U8, hasStation, Rosenthaler Platz]
Generated description
Rosenthaler Platz is a central Berlin U-Bahn station and busy traffic hub in the Mitte district, known for its surrounding cafés, nightlife, and creative scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosenthaler Platz Target entity description: Rosenthaler Platz is a central Berlin U-Bahn station and busy traffic hub in the Mitte district, known for its surrounding cafés, nightlife, and creative scene.
-
A.
Kaulbachplatz
Kaulbachplatz is an underground station on Munich’s U-Bahn network, serving the U3 line in the Schwabing district.
-
B.
Nachtigalplatz
Nachtigalplatz is a public square in Berlin’s Afrikanisches Viertel, known for its controversial colonial-era namesake and its role in debates over decolonizing urban toponymy.
-
C.
Nauener Platz
Nauener Platz is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
-
D.
Lehniner Platz
Lehniner Platz is a public square in Berlin, Germany, known as a cultural hub and transport node in the Charlottenburg district.
-
E.
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.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24990c548190b8d4125b896683ff |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a25e3f88c8190b9e45419c281f781 |
completed | May 17, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a26ad254081908be75936046e23ca |
completed | May 17, 2026, 8:35 p.m. |
Created at: April 16, 2026, 6:25 p.m.