Triple

T13312443
Position Surface form Disambiguated ID Type / Status
Subject Witten E317101 entity
Predicate hasTransport P1298 FINISHED
Object Witten Hauptbahnhof
Witten Hauptbahnhof is the main railway station serving the city of Witten in North Rhine-Westphalia, Germany, providing regional and local train connections.
E1032872 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: Witten Hauptbahnhof | Statement: [Witten, hasTransport, Witten Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witten Hauptbahnhof
Context triple: [Witten, hasTransport, Witten Hauptbahnhof]
  • A. Bern Hauptbahnhof
    Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
  • B. Hamm Hauptbahnhof
    Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
  • C. Kiel Hauptbahnhof
    Kiel Hauptbahnhof is the main railway station and central transportation hub serving the port city of Kiel in northern Germany.
  • D. Hagen Hauptbahnhof
    Hagen Hauptbahnhof is the main railway station and central transport hub of the city of Hagen in North Rhine-Westphalia, Germany.
  • E. Hof Hauptbahnhof
    Hof Hauptbahnhof is the main railway station serving the city of Hof in Bavaria, Germany, functioning as a regional transport hub.
  • 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: Witten Hauptbahnhof
Triple: [Witten, hasTransport, Witten Hauptbahnhof]
Generated description
Witten Hauptbahnhof is the main railway station serving the city of Witten in North Rhine-Westphalia, Germany, providing regional and local train connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Witten Hauptbahnhof
Target entity description: Witten Hauptbahnhof is the main railway station serving the city of Witten in North Rhine-Westphalia, Germany, providing regional and local train connections.
  • A. Bern Hauptbahnhof
    Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
  • B. Hamm Hauptbahnhof
    Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
  • C. Kiel Hauptbahnhof
    Kiel Hauptbahnhof is the main railway station and central transportation hub serving the port city of Kiel in northern Germany.
  • D. Hagen Hauptbahnhof
    Hagen Hauptbahnhof is the main railway station and central transport hub of the city of Hagen in North Rhine-Westphalia, Germany.
  • E. Hof Hauptbahnhof
    Hof Hauptbahnhof is the main railway station serving the city of Hof in Bavaria, Germany, functioning as a regional transport hub.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b868608190971c38f26b61cf28 completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f718705a44819084b97d35a10ee50d completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:29 p.m.