Triple
T21513342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U8 |
E530781
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Schönleinstraße
Schönleinstraße is a Berlin U-Bahn station located in the Neukölln district, serving as a stop on the city's underground transit network.
|
E1503718
|
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: Schönleinstraße | Statement: [U8, hasStation, Schönleinstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönleinstraße Context triple: [U8, hasStation, Schönleinstraße]
-
A.
Beusselstraße
Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
-
B.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
C.
Eichhornstraße
Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
-
D.
Brehmstraße
Brehmstraße is a street in Düsseldorf, Germany, best known for lending its name to the historic ice hockey arena Eisstadion an der Brehmstraße.
-
E.
Grunerstraße
Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
- 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: Schönleinstraße Triple: [U8, hasStation, Schönleinstraße]
Generated description
Schönleinstraße is a Berlin U-Bahn station located in the Neukölln district, serving as a stop on the city's underground transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schönleinstraße Target entity description: Schönleinstraße is a Berlin U-Bahn station located in the Neukölln district, serving as a stop on the city's underground transit network.
-
A.
Beusselstraße
Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
-
B.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
C.
Eichhornstraße
Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
-
D.
Brehmstraße
Brehmstraße is a street in Düsseldorf, Germany, best known for lending its name to the historic ice hockey arena Eisstadion an der Brehmstraße.
-
E.
Grunerstraße
Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
- 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_6a0a45cbbb2c8190b67378ab29fde27b |
completed | May 17, 2026, 10:48 p.m. |
| NEDg | Description generation | batch_6a0a47a0bd188190b6117cadf12c9ade |
completed | May 17, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a480539b4819097630614b857d7d3 |
completed | May 17, 2026, 10:58 p.m. |
Created at: April 16, 2026, 6:25 p.m.