Triple

T14257429
Position Surface form Disambiguated ID Type / Status
Subject Mitte E353420 entity
Predicate contains P35 FINISHED
Object Nikolaiviertel E180487 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: Nikolaiviertel | Statement: [Mitte, contains, Nikolaiviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaiviertel
Context triple: [Mitte, contains, Nikolaiviertel]
  • A. Nikolaiviertel chosen
    Nikolaiviertel is a historic quarter in central Berlin known for its reconstructed medieval-style streets, traditional German restaurants, and proximity to the Spree River.
  • 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. Karmeliterviertel
    Karmeliterviertel is a historic and culturally diverse neighborhood in Vienna known for its vibrant market, Jewish heritage, and lively café and restaurant scene.
  • D. 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.
  • E. 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.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325f213881909acf776ff4831c30 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.