Triple
T21369002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nürnberg-Langwasser |
E526999
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Langwasser Nord
Langwasser Nord is a public transit station serving the Langwasser district in the city of Nuremberg, Germany.
|
E1480761
|
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: Langwasser Nord | Statement: [Nürnberg-Langwasser, hasStation, Langwasser Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langwasser Nord Context triple: [Nürnberg-Langwasser, hasStation, Langwasser Nord]
-
A.
Langwasser Süd
Langwasser Süd is a southern district station in Nuremberg, Germany, serving as a key terminus on the city’s U-Bahn rapid transit network.
-
B.
Langwasser
Langwasser is a residential district in the southeast of Nuremberg, Germany, known for its post-war urban planning and large housing estates.
-
C.
Langwasser district
Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
-
D.
Watnall
Watnall is a village in Nottinghamshire, England, historically associated with nearby Royal Air Force facilities and suburban communities near Nottingham.
-
E.
Worsfold
Worsfold is an English-language surname borne by various notable individuals, including figures in sports, academia, and public life.
- 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: Langwasser Nord Triple: [Nürnberg-Langwasser, hasStation, Langwasser Nord]
Generated description
Langwasser Nord is a public transit station serving the Langwasser district in the city of Nuremberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langwasser Nord Target entity description: Langwasser Nord is a public transit station serving the Langwasser district in the city of Nuremberg, Germany.
-
A.
Langwasser Süd
Langwasser Süd is a southern district station in Nuremberg, Germany, serving as a key terminus on the city’s U-Bahn rapid transit network.
-
B.
Langwasser
Langwasser is a residential district in the southeast of Nuremberg, Germany, known for its post-war urban planning and large housing estates.
-
C.
Langwasser district
Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
-
D.
Watnall
Watnall is a village in Nottinghamshire, England, historically associated with nearby Royal Air Force facilities and suburban communities near Nottingham.
-
E.
Worsfold
Worsfold is an English-language surname borne by various notable individuals, including figures in sports, academia, and public life.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b41c930c8190ac11bdfabadbc237 |
completed | May 17, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_6a09b4da24948190ad67a98bd1ede5dd |
completed | May 17, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b5daceac81909ecfa50967c77f58 |
completed | May 17, 2026, 12:34 p.m. |
Created at: April 16, 2026, 5:09 p.m.