Triple

T16858749
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Moabit E409853 entity
Predicate hasPublicTransportNode P15438 FINISHED
Object S Beusselstraße NE NERFINISHED

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: S Beusselstraße | Statement: [Berlin-Moabit, hasPublicTransportNode, S Beusselstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S Beusselstraße
Context triple: [Berlin-Moabit, hasPublicTransportNode, S Beusselstraße]
  • A. Beusselstraße chosen
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • B. Vorbergstraße
    Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
  • C. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • D. Benkertstraße
    Benkertstraße is a historic street located in Potsdam’s Dutch Quarter, known for its characteristic red-brick Dutch-style architecture.
  • E. Amrumer Straße
    Amrumer Straße is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
Created at: April 10, 2026, 5:24 a.m.