Triple
T21513328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U8 |
E530781
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Residenzstraße
Residenzstraße is a Berlin U-Bahn station on line U8 located in the Reinickendorf district.
|
E1494467
|
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: Residenzstraße | Statement: [U8, hasStation, Residenzstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Residenzstraße Context triple: [U8, hasStation, Residenzstraße]
-
A.
Residenzstraße
Residenzstraße is a historic street in central Munich, Germany, known for its proximity to the Munich Residenz and other prominent landmarks.
-
B.
Ludwigstraße
Ludwigstraße is a grand, historic boulevard in Munich, Germany, known for its monumental 19th-century architecture and role as one of the city’s main north–south axes.
-
C.
Rathausstraße
Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
-
D.
Schloßstraße
Schloßstraße is a Berlin U-Bahn station on the U9 line located in the Steglitz district, serving as a key access point to the nearby Schlossstraße shopping area.
-
E.
Feilitzschstraße
Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
- 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: Residenzstraße Triple: [U8, hasStation, Residenzstraße]
Generated description
Residenzstraße is a Berlin U-Bahn station on line U8 located in the Reinickendorf district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Residenzstraße Target entity description: Residenzstraße is a Berlin U-Bahn station on line U8 located in the Reinickendorf district.
-
A.
Residenzstraße
Residenzstraße is a historic street in central Munich, Germany, known for its proximity to the Munich Residenz and other prominent landmarks.
-
B.
Ludwigstraße
Ludwigstraße is a grand, historic boulevard in Munich, Germany, known for its monumental 19th-century architecture and role as one of the city’s main north–south axes.
-
C.
Rathausstraße
Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
-
D.
Schloßstraße
Schloßstraße is a Berlin U-Bahn station on the U9 line located in the Steglitz district, serving as a key access point to the nearby Schlossstraße shopping area.
-
E.
Feilitzschstraße
Feilitzschstraße is a well-known street in Munich’s Schwabing district, noted for its lively mix of cafés, bars, and cultural venues.
- 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_6a0a0f80e8a481908eeac470f5b93d64 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a103e85208190b70626ed1d623547 |
completed | May 17, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a10c8c5bc8190add0ee63eb338964 |
completed | May 17, 2026, 7:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.