Triple

T14755141
Position Surface form Disambiguated ID Type / Status
Subject Landstraße E346710 entity
Predicate contains P35 FINISHED
Object Wien Mitte station E548227 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: Wien Mitte station | Statement: [Landstraße, contains, Wien Mitte station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wien Mitte station
Context triple: [Landstraße, contains, Wien Mitte station]
  • A. Wien Mitte railway station chosen
    Wien Mitte railway station is a major central transport hub in Vienna, Austria, serving regional and suburban trains as well as key urban transit lines.
  • 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. Messe-Prater U-Bahn station
    Messe-Prater U-Bahn station is a Vienna U-Bahn station serving the exhibition grounds and nearby university campus in the Leopoldstadt district.
  • E. Kaisermühlen–Vienna International Centre station
    Kaisermühlen–Vienna International Centre station is a Vienna U-Bahn station serving the Vienna International Centre and surrounding Kaisermühlen district.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9e1b8481909abea3daabe91302 completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.