Triple
T14266184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U9 |
E353649
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Hansaplatz
Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
|
E1093639
|
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: Hansaplatz | Statement: [U9, hasStation, Hansaplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hansaplatz Context triple: [U9, hasStation, Hansaplatz]
-
A.
Roncalliplatz
Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
-
B.
Odeonsplatz
Odeonsplatz is a large historic square in central Munich, Germany, known for its grand architecture and role as a prominent cultural and political gathering place.
-
C.
Marijinplatz
Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
-
D.
Alter Platz
Alter Platz is the historic main square in Klagenfurt, Austria, known for its traditional architecture, shops, and cafés.
-
E.
Schinkelplatz
Schinkelplatz is a historic square in central Berlin named after architect Karl Friedrich Schinkel, known for its neoclassical surroundings and proximity to major cultural and governmental buildings.
- 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: Hansaplatz Triple: [U9, hasStation, Hansaplatz]
Generated description
Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hansaplatz Target entity description: Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
-
A.
Roncalliplatz
Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
-
B.
Odeonsplatz
Odeonsplatz is a large historic square in central Munich, Germany, known for its grand architecture and role as a prominent cultural and political gathering place.
-
C.
Marijinplatz
Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
-
D.
Alter Platz
Alter Platz is the historic main square in Klagenfurt, Austria, known for its traditional architecture, shops, and cafés.
-
E.
Schinkelplatz
Schinkelplatz is a historic square in central Berlin named after architect Karl Friedrich Schinkel, known for its neoclassical surroundings and proximity to major cultural and governmental buildings.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467d45c88190ac6ac280aa691591 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4811e2808190b559d8348079ae8f |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd48d827488190b4a494d4da64ba51 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 10, 2026, 1:09 a.m.