Triple

T16395173
Position Surface form Disambiguated ID Type / Status
Subject Nürnberg Röthenbach station E398160 entity
Predicate terminusOf P3375 FINISHED
Object U2 line E1210049 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: U2 line | Statement: [Nürnberg Röthenbach station, terminusOf, U2 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U2 line
Context triple: [Nürnberg Röthenbach station, terminusOf, U2 line]
  • A. U2 line
    The U2 line is a rapid transit route of the Frankfurt U-Bahn network that connects central Frankfurt with several outlying districts.
  • B. U2 Praterstern
    U2 Praterstern is a major Vienna U-Bahn station and transport hub serving the Praterstern area near the Prater and Hauptallee.
  • C. U21 line chosen
    The U21 line is a short branch of the Nuremberg U-Bahn network in Germany that connects the main U2 line to the Röthenbach area.
  • D. U Line
    U Line is a light metro line in the Seoul metropolitan area that serves the city of Uijeongbu with driverless trains on an elevated and mostly automated system.
  • E. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326462298819087091dc935f0f916 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004579d9a88190b353952c5c301e9f completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.