Triple

T8714881
Position Surface form Disambiguated ID Type / Status
Subject Marienplatz U-Bahn station E206868 entity
Predicate servedByLine P1293 FINISHED
Object S8 E502936 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: S8 | Statement: [Marienplatz U-Bahn station, servedByLine, S8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S8
Context triple: [Marienplatz U-Bahn station, servedByLine, S8]
  • A. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • B. S8 chosen
    S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
  • C. S8 Stock
    S8 Stock is a type of London Underground train used on the Metropolitan line, featuring air-conditioned, walk-through carriages designed for longer-distance suburban services.
  • D. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • E. S6
    S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd6707c819092c9fca34f273d5e completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28d62af88190acf2d8692d73b9f5 completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.