Triple
T17127609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nürnberg-Steinbühl station |
E415637
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object |
Steinbühl
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
|
E1276802
|
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: Steinbühl | Statement: [Nürnberg-Steinbühl station, locatedInDistrict, Steinbühl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinbühl Context triple: [Nürnberg-Steinbühl station, locatedInDistrict, Steinbühl]
-
A.
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
-
B.
Meisenbühl
Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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: Steinbühl Triple: [Nürnberg-Steinbühl station, locatedInDistrict, Steinbühl]
Generated description
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steinbühl Target entity description: Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
-
A.
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
-
B.
Meisenbühl
Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f027a3d081908fc1134b50db3d45 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddd1fc008190b12be8c71a6127df |
completed | May 11, 2026, 1:46 p.m. |
| NEDg | Description generation | batch_6a01dfcb18cc8190bec7a36e886b5a4c |
completed | May 11, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e02a5d9481909cd957c14a4eff3b |
completed | May 11, 2026, 1:56 p.m. |
Created at: April 10, 2026, 5:36 a.m.