Triple

T14367207
Position Surface form Disambiguated ID Type / Status
Subject Augustusplatz E356265 entity
Predicate borderedByStreet P224 FINISHED
Object Goethestraße E814017 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: Goethestraße | Statement: [Augustusplatz, borderedByStreet, Goethestraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goethestraße
Context triple: [Augustusplatz, borderedByStreet, Goethestraße]
  • A. Goethestraße chosen
    Goethestraße is a street in the vicinity of Steintorplatz, likely situated in an urban German setting and named after the writer Johann Wolfgang von Goethe.
  • B. Lothringerstraße
    Lothringerstraße is a central street in Vienna, Austria, located near major landmarks such as Karlsplatz and the Ringstrasse.
  • C. Gustav-Adolf-Straße
    Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
  • D. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • E. Nürnberger Straße
    Nürnberger Straße is a central Berlin street in the Schöneberg/Charlottenburg area, known for its proximity to major shopping and transport hubs like Wittenbergplatz and the Kurfürstendamm.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69feadfaddc88190bb1196ace0bfd4ff completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 1:15 a.m.