Triple

T19466766
Position Surface form Disambiguated ID Type / Status
Subject Vienne E487019 entity
Predicate hasTransport P1298 FINISHED
Object Vienne railway station 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: Vienne railway station | Statement: [Vienne, hasTransport, Vienne railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienne railway station
Context triple: [Vienne, hasTransport, Vienne railway station]
  • A. Vienne railway station chosen
    Vienne railway station is the main train station serving the town of Vienne in southeastern France, providing regional and intercity rail connections.
  • B. Vienna station
    Vienna station is a Washington Metro rapid transit station in Fairfax County, Virginia, serving as the western endpoint of the system’s Orange Line.
  • C. Wien Hauptbahnhof
    Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
  • D. Linz Central Station
    Linz Central Station is the main railway hub of Linz, Austria, serving as a key regional and long-distance transport interchange.
  • E. Gmunden station
    Gmunden station is a railway station in the Austrian town of Gmunden that serves as a stop on the scenic Salzkammergut railway line.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e2aee081908330a5665fa60482 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.