Triple

T17917570
Position Surface form Disambiguated ID Type / Status
Subject Prenzlauer Berg E447971 entity
Predicate hasStreet P959 FINISHED
Object Schönhauser Allee 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: Schönhauser Allee | Statement: [Prenzlauer Berg, hasStreet, Schönhauser Allee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schönhauser Allee
Context triple: [Prenzlauer Berg, hasStreet, Schönhauser Allee]
  • A. Schönhauser Allee chosen
    Schönhauser Allee is a major transport hub and street in Berlin’s Prenzlauer Berg district, served by both the city’s S-Bahn and U-Bahn networks.
  • B. Berliner Straße
    Berliner Straße is a central street in the historic city of Görlitz, Germany, known for its traditional urban architecture and role as a key thoroughfare near the Obermarkt.
  • C. Berliner Straße
    Berliner Straße is a major Berlin U-Bahn station complex in the district of Wilmersdorf, serving as a key transfer point between multiple subway lines.
  • D. Tempelhofer Damm
    Tempelhofer Damm is a major thoroughfare in Berlin’s Tempelhof district, running alongside the former Tempelhof Airport and connecting central Berlin with the city’s southern suburbs.
  • E. Spichernstraße
    Spichernstraße is a Berlin U-Bahn station that serves as an interchange point on the city's underground network.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30778fc81908b5b2e308fb158a5 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.