Triple

T12897992
Position Surface form Disambiguated ID Type / Status
Subject S8 line E308542 entity
Predicate passesThrough P225 FINISHED
Object Frankfurt (Main) Ostendstraße E999462 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: Frankfurt (Main) Ostendstraße | Statement: [S8 line, passesThrough, Frankfurt (Main) Ostendstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfurt (Main) Ostendstraße
Context triple: [S8 line, passesThrough, Frankfurt (Main) Ostendstraße]
  • A. Frankfurt Ostendstraße chosen
    Frankfurt Ostendstraße is a station on the Frankfurt S-Bahn network located in the Ostend district of Frankfurt am Main, Germany.
  • B. Stuttgart Schwabstraße
    Stuttgart Schwabstraße is a major underground S-Bahn station in Stuttgart, Germany, serving as an important transit hub on the city's suburban rail network.
  • C. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • D. Ullsteinstraße
    Ullsteinstraße is a Berlin U-Bahn station on the U6 line located in the Tempelhof area of the city.
  • E. Voßstraße
    Voßstraße is a street in central Berlin, Germany, historically notable for hosting key government buildings of the German Empire and Nazi era near Potsdamer Platz and the government quarter.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717f3fc48190b61c8f6f36cd0725 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55f98c08190b8910b1443841fa7 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.