Triple
T568671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U6 |
E13613
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Mehringdamm
Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
|
E74577
|
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: Mehringdamm | Statement: [Berlin U-Bahn line U6, hasStation, Mehringdamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehringdamm Context triple: [Berlin U-Bahn line U6, hasStation, Mehringdamm]
-
A.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Reinickendorfer Straße
Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
-
D.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- 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: Mehringdamm Triple: [Berlin U-Bahn line U6, hasStation, Mehringdamm]
Generated description
Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mehringdamm Target entity description: Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
-
A.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Reinickendorfer Straße
Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
-
D.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- 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_69a518c214088190963746dcb402b0b1 |
completed | March 2, 2026, 4:57 a.m. |
| NEDg | Description generation | batch_69a51b28a9f48190a940b7fb02ace212 |
completed | March 2, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a51b8bd650819094832c3bbdf02cf0 |
completed | March 2, 2026, 5:09 a.m. |
Created at: March 1, 2026, 7:33 p.m.