Triple

T14859337
Position Surface form Disambiguated ID Type / Status
Subject Gare E349447 entity
Predicate hasNameInGerman P22792 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: [Gare, hasNameInGerman, Bahnhofsviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahnhofsviertel
Context triple: [Gare, hasNameInGerman, 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. Dorotheenstadt
    Dorotheenstadt is a historic district in central Berlin, Germany, known for its cultural significance and notable institutions.
  • E. Bayerisches Viertel
    Bayerisches Viertel is a historic residential neighborhood in Berlin known for its early 20th-century architecture and its significant Jewish cultural and memorial heritage.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4f224c8190bb2e06203c9b3a94 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:54 a.m.