Triple

T2538729
Position Surface form Disambiguated ID Type / Status
Subject Giant Ferris Wheel E56330 entity
Predicate near P350 FINISHED
Object Praterstern transport hub E276798 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: Praterstern transport hub | Statement: [Giant Ferris Wheel, near, Praterstern transport hub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praterstern transport hub
Context triple: [Giant Ferris Wheel, near, Praterstern transport hub]
  • A. Praterstern railway station chosen
    Praterstern railway station is a major transport hub in Vienna, Austria, serving as a key interchange for regional and urban rail, metro, tram, and bus services.
  • B. Fürth Hauptbahnhof
    Fürth Hauptbahnhof is the main railway station of Fürth in Bavaria, Germany, serving as a regional and local transport hub with connections to nearby cities including Nuremberg.
  • C. Südkreuz station
    Südkreuz station is a major Berlin transport hub serving regional, long-distance, and S-Bahn trains in the southern part of the city.
  • D. Prater
    Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
  • E. Innsbrucker Platz station
    Innsbrucker Platz station is a Berlin U-Bahn and S-Bahn interchange located in the Schöneberg district of Germany’s capital.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af65573c30819080a8f0235e5dd8be completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.