Triple
T4498905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuremberg metropolitan region |
E100767
|
entity |
| Predicate | hasRailConnection |
P848
|
FINISHED |
| Object |
rail corridor Nuremberg–Berlin
The rail corridor Nuremberg–Berlin is a major German railway route linking the Nuremberg metropolitan area with the capital city Berlin, serving both long-distance and regional passenger traffic.
|
E448074
|
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: rail corridor Nuremberg–Berlin | Statement: [Nuremberg metropolitan region, hasRailConnection, rail corridor Nuremberg–Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rail corridor Nuremberg–Berlin Context triple: [Nuremberg metropolitan region, hasRailConnection, rail corridor Nuremberg–Berlin]
-
A.
Nuremberg–Lichtenfels railway
The Nuremberg–Lichtenfels railway is a mainline rail route in Bavaria, Germany, connecting the city of Nuremberg with the town of Lichtenfels as part of the regional and long-distance rail network.
-
B.
Nuremberg–Würzburg railway
The Nuremberg–Würzburg railway is a major German main line in Bavaria that connects the cities of Nuremberg and Würzburg and forms part of an important north–south and east–west rail corridor.
-
C.
Nuremberg–Bamberg railway
The Nuremberg–Bamberg railway is a major German main line in Bavaria that connects the cities of Nuremberg and Bamberg and forms part of important regional and long-distance rail routes.
-
D.
Nuremberg–Regensburg railway
The Nuremberg–Regensburg railway is a major German rail line in Bavaria that links the cities of Nuremberg and Regensburg, serving both regional and long-distance passenger and freight traffic.
-
E.
Berlin–Magdeburg railway
The Berlin–Magdeburg railway is a major German rail line connecting the capital city Berlin with the city of Magdeburg, serving both regional and long-distance passenger and freight traffic.
- 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: rail corridor Nuremberg–Berlin Triple: [Nuremberg metropolitan region, hasRailConnection, rail corridor Nuremberg–Berlin]
Generated description
The rail corridor Nuremberg–Berlin is a major German railway route linking the Nuremberg metropolitan area with the capital city Berlin, serving both long-distance and regional passenger traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: rail corridor Nuremberg–Berlin Target entity description: The rail corridor Nuremberg–Berlin is a major German railway route linking the Nuremberg metropolitan area with the capital city Berlin, serving both long-distance and regional passenger traffic.
-
A.
Nuremberg–Lichtenfels railway
The Nuremberg–Lichtenfels railway is a mainline rail route in Bavaria, Germany, connecting the city of Nuremberg with the town of Lichtenfels as part of the regional and long-distance rail network.
-
B.
Nuremberg–Würzburg railway
The Nuremberg–Würzburg railway is a major German main line in Bavaria that connects the cities of Nuremberg and Würzburg and forms part of an important north–south and east–west rail corridor.
-
C.
Nuremberg–Bamberg railway
The Nuremberg–Bamberg railway is a major German main line in Bavaria that connects the cities of Nuremberg and Bamberg and forms part of important regional and long-distance rail routes.
-
D.
Nuremberg–Regensburg railway
The Nuremberg–Regensburg railway is a major German rail line in Bavaria that links the cities of Nuremberg and Regensburg, serving both regional and long-distance passenger and freight traffic.
-
E.
Berlin–Magdeburg railway
The Berlin–Magdeburg railway is a major German rail line connecting the capital city Berlin with the city of Magdeburg, serving both regional and long-distance passenger and freight traffic.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c29868819097633c7cd398e865 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f89114081908adbd8e78d4c8ec4 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71aecafc8190b0815d0308bbcaa9 |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd75f39d788190b9e394050c55f44d |
completed | March 20, 2026, 4:29 p.m. |
Created at: March 20, 2026, 1 p.m.