Triple

T12601799
Position Surface form Disambiguated ID Type / Status
Subject DB Station&Service E300874 entity
Predicate shortName P43 FINISHED
Object DB S&S E300874 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: DB S&S | Statement: [DB Station&Service, shortName, DB S&S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB S&S
Context triple: [DB Station&Service, shortName, DB S&S]
  • A. DB S&S chosen
    DB S&S is the abbreviated name for DB Station&Service, the Deutsche Bahn subsidiary responsible for managing and operating railway stations in Germany.
  • B. S.D.B.
    S.D.B. is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
  • C. SDB
    SDB is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
  • D. DB1
    DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
  • E. S&S Worldwide
    S&S Worldwide is an amusement ride manufacturer best known for its high-thrill tower and launch attractions used in theme parks around the world.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d1f6ac8190ab21ca7bcbc80129 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec92c6c8190bd2d193e70940407 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:09 p.m.