Triple

T16858727
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Moabit E409853 entity
Predicate hasMajorStreet P30026 FINISHED
Object Turmstraße 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: Turmstraße | Statement: [Berlin-Moabit, hasMajorStreet, Turmstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turmstraße
Context triple: [Berlin-Moabit, hasMajorStreet, Turmstraße]
  • A. Turmstraße chosen
    Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
  • B. Burgstraße
    Burgstraße is a historic street located in the Old Town (Altstadt) of Hanover, Germany, known for its traditional architecture and central location.
  • C. Bräunerstraße
    Bräunerstraße is a street in Vienna’s historic city center, known for its upscale shops, historic buildings, and proximity to major landmarks such as the Graben.
  • D. Elbestraße
    Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
  • E. Taubenstraße
    Taubenstraße is a street in Hamburg, Germany, located in the St. Pauli district near the Reeperbahn and the Spielbudenplatz entertainment area.
  • 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.