Triple

T16225241
Position Surface form Disambiguated ID Type / Status
Subject Hauptwache station E393826 entity
Predicate servedByLine P1293 FINISHED
Object S8 E987074 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: [Hauptwache station, servedByLine, S8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S8
Context triple: [Hauptwache 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
    S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
  • C. S8
    S8 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • D. S8 chosen
    S8 is a regional S-Bahn line in Germany’s Rhine-Main area that connects key cities and suburbs within the Frankfurt metropolitan region.
  • E. 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.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d25f8bc81909aa59b794a528db2 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed55a7c8190b4bc8bc325a5da5b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.