Triple

T18501074
Position Surface form Disambiguated ID Type / Status
Subject Bern public transport network E452065 entity
Predicate hasHub P2413 FINISHED
Object Bern Hauptbahnhof NE NERFINISHED

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: Bern Hauptbahnhof | Statement: [Bern public transport network, hasHub, Bern Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bern Hauptbahnhof
Context triple: [Bern public transport network, hasHub, Bern Hauptbahnhof]
  • A. Bern Hauptbahnhof chosen
    Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
  • B. Hof Hauptbahnhof
    Hof Hauptbahnhof is the main railway station serving the city of Hof in Bavaria, Germany, functioning as a regional transport hub.
  • C. Witten Hauptbahnhof
    Witten Hauptbahnhof is the main railway station serving the city of Witten in North Rhine-Westphalia, Germany, providing regional and local train connections.
  • D. Hamm Hauptbahnhof
    Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
  • E. Munich Hauptbahnhof
    Munich Hauptbahnhof is the main railway station and central transportation hub of Munich, Germany, serving long-distance, regional, and S-Bahn commuter trains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.