Triple

T20667869
Position Surface form Disambiguated ID Type / Status
Subject Munich S-Bahn E507939 entity
Predicate hasLine P35 FINISHED
Object S2 E753886 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: S2 | Statement: [Munich S-Bahn, hasLine, S2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S2
Context triple: [Munich S-Bahn, hasLine, S2]
  • A. S2 chosen
    S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
  • B. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • C. S2
    S2 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
  • D. S2
    S2 is the Indian Navy hull number assigned to INS Arihant, India’s first indigenously built nuclear-powered ballistic missile submarine.
  • E. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd6271e481909e3a6f10ec40ce11 completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:44 a.m.