Triple

T11647005
Position Surface form Disambiguated ID Type / Status
Subject U1 (Vienna U-Bahn) E276799 entity
Predicate servesStation P839 FINISHED
Object Reumannplatz station E950128 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: Reumannplatz station | Statement: [U1 (Vienna U-Bahn), servesStation, Reumannplatz station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reumannplatz station
Context triple: [U1 (Vienna U-Bahn), servesStation, Reumannplatz station]
  • A. Reumannplatz station chosen
    Reumannplatz station is a Vienna U-Bahn station in the Favoriten district that serves as a key stop on line U1 and a major local transport hub.
  • B. Stephansplatz station
    Stephansplatz station is a major interchange stop in the Vienna U-Bahn network located beneath Stephansplatz in the historic city center near St. Stephen's Cathedral.
  • C. Rathenauplatz station
    Rathenauplatz station is an underground rapid transit stop on the Nuremberg U-Bahn network in Nuremberg, Germany.
  • D. Viktoria-Luise-Platz station
    Viktoria-Luise-Platz station is a Berlin U-Bahn station on the short U4 line, serving the Schöneberg district near Viktoria-Luise-Platz square.
  • E. Joachim-Mähl-Straße station
    Joachim-Mähl-Straße station is a public transit stop on the Hamburg U-Bahn network serving the Niendorf district of Hamburg, Germany.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cc8bfc8190a063cc37de9596a9 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f59c6108190a9c4c7b17c2fb401 completed May 1, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:39 p.m.