Triple

T15493889
Position Surface form Disambiguated ID Type / Status
Subject Brienner Straße E378764 entity
Predicate parallelTo P1868 FINISHED
Object Ludwigstraße E738334 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: Ludwigstraße | Statement: [Brienner Straße, parallelTo, Ludwigstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigstraße
Context triple: [Brienner Straße, parallelTo, Ludwigstraße]
  • A. Ludwigstraße chosen
    Ludwigstraße is a grand, historic boulevard in Munich, Germany, known for its monumental 19th-century architecture and role as one of the city’s main north–south axes.
  • B. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • C. 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.
  • D. Franz-Körner-Straße
    Franz-Körner-Straße is a street in Berlin, Germany, located in the Neukölln district near Columbiadamm and the former Tempelhof Airport.
  • E. Golßener Straße
    Golßener Straße is a street in Berlin, Germany, located in the Neukölln area near Columbiadamm and the former Tempelhof Airport grounds.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067948b308190a434cdf1d45ebef4 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 3:49 a.m.