Triple

T20643371
Position Surface form Disambiguated ID Type / Status
Subject Hanover S-Bahn network E507285 entity
Predicate hasStation P35 FINISHED
Object Hameln station NE NERFINISHED

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: Hameln station | Statement: [Hanover S-Bahn network, hasStation, Hameln station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hameln station
Context triple: [Hanover S-Bahn network, hasStation, Hameln station]
  • A. Hameln railway station chosen
    Hameln railway station is the main passenger rail hub serving the town of Hameln in Lower Saxony, Germany, providing regional and local train connections.
  • B. Othmarschen station
    Othmarschen station is a Hamburg S-Bahn railway station serving the Othmarschen district in the west of Hamburg, Germany.
  • C. Halberstadt station
    Halberstadt station is a regional railway hub in the town of Halberstadt in Saxony-Anhalt, Germany, serving as a junction for several important rail lines in the area.
  • D. Eidelstedt station
    Eidelstedt station is a railway and S-Bahn station in the Eidelstedt district of Hamburg, Germany, serving as a local and regional transport hub.
  • E. Itzehoe station
    Itzehoe station is a regional and long-distance railway station in the town of Itzehoe in Schleswig-Holstein, northern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1c51f48190abba54a5aace9fc8 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.