Triple

T11041553
Position Surface form Disambiguated ID Type / Status
Subject Reeperbahn S-Bahn station E261029 entity
Predicate ownedBy P347 FINISHED
Object Hamburger Hochbahn AG E899252 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: Hamburger Hochbahn AG | Statement: [Reeperbahn S-Bahn station, ownedBy, Hamburger Hochbahn AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburger Hochbahn AG
Context triple: [Reeperbahn S-Bahn station, ownedBy, Hamburger Hochbahn AG]
  • A. Hamburger Hochbahn chosen
    Hamburger Hochbahn is a major public transport company in Hamburg, Germany, responsible for operating much of the city's U-Bahn (subway) and bus network.
  • B. Basler Verkehrs-Betriebe
    Basler Verkehrs-Betriebe is the main public transport company of Basel, Switzerland, operating the city’s tram and bus services.
  • C. S-Bahn Hamburg GmbH
    S-Bahn Hamburg GmbH is the company that operates Hamburg’s suburban rapid transit rail network within the German railway system.
  • D. Stuttgarter Straßenbahnen AG
    Stuttgarter Straßenbahnen AG is the main public transport company in Stuttgart, Germany, responsible for operating much of the city’s urban rail and bus network.
  • E. Hamburger Verkehrsverbund
    Hamburger Verkehrsverbund is the integrated public transport association serving Hamburg and its surrounding metropolitan region in northern 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980050948190ae7b187da5b776ca completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c846d9f08190943d457ff6da6a9f completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.