Triple

T6335832
Position Surface form Disambiguated ID Type / Status
Subject S41 E142487 entity
Predicate stopsAt P6657 FINISHED
Object Innsbrucker Platz station E86207 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: Innsbrucker Platz station | Statement: [S41, stopsAt, Innsbrucker Platz station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innsbrucker Platz station
Context triple: [S41, stopsAt, Innsbrucker Platz station]
  • A. Innsbrucker Platz station chosen
    Innsbrucker Platz station is a Berlin U-Bahn and S-Bahn interchange located in the Schöneberg district of Germany’s capital.
  • B. 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.
  • C. Praterstern railway station
    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.
  • D. 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.
  • E. Wien Mitte railway station
    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.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654a88a881908d5cb2aa7f22c4c7 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6042ab22c8190a7486049f45a546b completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.