Triple
T568655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U6 |
E13613
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
|
E72034
|
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: Scharnweberstraße | Statement: [Berlin U-Bahn line U6, hasStation, Scharnweberstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scharnweberstraße Context triple: [Berlin U-Bahn line U6, hasStation, Scharnweberstraße]
-
A.
Holzhauser Straße
Holzhauser Straße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
B.
Otisstraße
Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
-
C.
Bahnhofstraße
Bahnhofstraße is a central street in Chemnitz, Germany, known for serving as the main access route to Chemnitz Hauptbahnhof, the city's primary railway station.
-
D.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
E.
Marktstraße
Marktstraße is the historic main street and central pedestrian thoroughfare of Bad Tölz, known for its traditional Bavarian architecture and lively shops and cafes.
- 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: Scharnweberstraße Triple: [Berlin U-Bahn line U6, hasStation, Scharnweberstraße]
Generated description
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scharnweberstraße Target entity description: Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
A.
Holzhauser Straße
Holzhauser Straße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
B.
Otisstraße
Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
-
C.
Bahnhofstraße
Bahnhofstraße is a central street in Chemnitz, Germany, known for serving as the main access route to Chemnitz Hauptbahnhof, the city's primary railway station.
-
D.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
E.
Marktstraße
Marktstraße is the historic main street and central pedestrian thoroughfare of Bad Tölz, known for its traditional Bavarian architecture and lively shops and cafes.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b0406d481908af5fc7bc67103fb |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4a68e0819091efedcd8c620d01 |
completed | March 2, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_69a5002609648190a6726d1deb25d3a1 |
completed | March 2, 2026, 3:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5007bdf5c81908eb3f6228b39e7b0 |
completed | March 2, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:33 p.m.