Triple

T22317091
Position Surface form Disambiguated ID Type / Status
Subject Gallus E551673 entity
Predicate borderedBy P224 FINISHED
Object Bahnhofsviertel E394383 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: Bahnhofsviertel | Statement: [Gallus, borderedBy, Bahnhofsviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahnhofsviertel
Context triple: [Gallus, borderedBy, Bahnhofsviertel]
  • A. Bahnhofsviertel chosen
    Bahnhofsviertel is a central Frankfurt district known for its mix of historic Wilhelminian architecture, nightlife, red-light area, and growing creative and gastronomic scene.
  • B. Bohnenviertel
    Bohnenviertel is a historic quarter in central Stuttgart known for its narrow streets, traditional houses, and vibrant mix of small shops, bars, and restaurants.
  • C. Rathausviertel
    Rathausviertel is a central district in Vienna, Austria, known for its historic architecture, cultural institutions, and proximity to landmarks such as the city hall and major parks.
  • D. Scheunenviertel
    Scheunenviertel is a historic neighborhood in central Berlin known for its former Jewish quarter, vibrant nightlife, and mix of restored pre-war buildings and cultural venues.
  • E. Marienviertel
    Marienviertel is a historic quarter in the old town of Berlin, Germany, known for its medieval origins and proximity to key civic buildings.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157535eb48190adbefbb619cb5fcd completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae04fd650819093214960efe68ca1 completed May 18, 2026, 9:48 a.m.
Created at: April 16, 2026, 8:42 p.m.