Triple

T25921232
Position Surface form Disambiguated ID Type / Status
Subject Zirndorf E653175 entity
Predicate connectedByRailwayLine P848 FINISHED
Object Nuremberg–Cadolzburg railway
The Nuremberg–Cadolzburg railway is a regional rail line in Bavaria, Germany, linking the city of Nuremberg with surrounding towns in the Fürth district.
 E1724095 NE FINISHED

How this triple was built (3 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: Nuremberg–Cadolzburg railway | Statement: [Zirndorf, connectedByRailwayLine, Nuremberg–Cadolzburg railway]
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: Nuremberg–Cadolzburg railway
Triple: [Zirndorf, connectedByRailwayLine, Nuremberg–Cadolzburg railway]
Generated description
The Nuremberg–Cadolzburg railway is a regional rail line in Bavaria, Germany, linking the city of Nuremberg with surrounding towns in the Fürth district.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: connectedByRailwayLine
Context triple: [Zirndorf, connectedByRailwayLine, Nuremberg–Cadolzburg railway]
  • A. railwayConnectsTo
    Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
  • B. providesRailConnectionsWithin
    Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
  • C. railwayLine chosen
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • D. connectsToRailStation
    Indicates that one entity has a direct link, route, or access connection to a rail station.
  • E. ownsRailwayLine
    Indicates that one entity has legal ownership or control over a railway line used for train operations.
  • F. None of above.

Provenance (6 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_69e7ab3e025c819086771607157f0015 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6df450014819099d118e5c2d697fa completed May 3, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae921a9c819083fc2f875807478d completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11afb54ae8819080879d203d92a5c9 completed May 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a11b051d328819090f947755dda4cfc completed May 23, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
Created at: April 22, 2026, 8:32 a.m.