Triple

T17102584
Position Surface form Disambiguated ID Type / Status
Subject Lünen E415014 entity
Predicate hasTransport P1298 FINISHED
Object Lünen Hauptbahnhof E337298 NE FINISHED

How this triple was built (2 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: Lünen Hauptbahnhof | Statement: [Lünen, hasTransport, Lünen Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lünen Hauptbahnhof
Context triple: [Lünen, hasTransport, Lünen Hauptbahnhof]
  • A. Lünen Hauptbahnhof chosen
    Lünen Hauptbahnhof is the main railway station serving the town of Lünen in North Rhine-Westphalia, Germany, providing regional passenger rail connections.
  • B. Remscheid-Lennep station
    Remscheid-Lennep station is a regional railway station in the Lennep district of Remscheid, Germany, serving as a local transport hub in North Rhine-Westphalia.
  • C. Lüdenscheid station
    Lüdenscheid station is the main railway station serving the town of Lüdenscheid in North Rhine-Westphalia, Germany, providing regional rail connections for passengers.
  • D. Langenau station
    Langenau station is a regional railway stop in the town of Langenau in Baden-Württemberg, Germany, serving local passenger rail services.
  • E. Hanau Hauptbahnhof
    Hanau Hauptbahnhof is the main railway station of the city of Hanau in Hesse, Germany, serving as an important regional and long-distance transport hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2495c88190b5b16a006a994faf completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ffbe808190a24e827331ee4a6c completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.