Triple
T21513336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U8 |
E530781
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Weinmeisterstraße
Weinmeisterstraße is a Berlin U-Bahn station on the U8 line located in the central district of Mitte.
|
E1500363
|
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: Weinmeisterstraße | Statement: [U8, hasStation, Weinmeisterstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weinmeisterstraße Context triple: [U8, hasStation, Weinmeisterstraße]
-
A.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
B.
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.
-
C.
Ruppertstraße
Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Güntzelstraße
Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district 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: Weinmeisterstraße Triple: [U8, hasStation, Weinmeisterstraße]
Generated description
Weinmeisterstraße is a Berlin U-Bahn station on the U8 line located in the central district of Mitte.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weinmeisterstraße Target entity description: Weinmeisterstraße is a Berlin U-Bahn station on the U8 line located in the central district of Mitte.
-
A.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
B.
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.
-
C.
Ruppertstraße
Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Güntzelstraße
Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district 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_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_6a0a365e13e08190b12b1c7fe707c998 |
completed | May 17, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_6a0a373aca708190aae867f78c87b956 |
completed | May 17, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e2aa048190a8e0bcd3a106a9aa |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:25 p.m.