Triple

T11646554
Position Surface form Disambiguated ID Type / Status
Subject Leopoldstadt E276789 entity
Predicate contains P35 FINISHED
Object Karmeliterviertel E571414 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: Karmeliterviertel | Statement: [Leopoldstadt, contains, Karmeliterviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karmeliterviertel
Context triple: [Leopoldstadt, contains, Karmeliterviertel]
  • A. Karmeliterviertel chosen
    Karmeliterviertel is a historic and culturally diverse neighborhood in Vienna known for its vibrant market, Jewish heritage, and lively café and restaurant 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. Nikolaiviertel
    Nikolaiviertel is a historic quarter in central Berlin known for its reconstructed medieval-style streets, traditional German restaurants, and proximity to the Spree River.
  • 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. Bankenviertel
    Bankenviertel is Frankfurt am Main’s central financial district, known for its concentration of major banks, skyscrapers, and financial institutions.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cc8bfc8190a063cc37de9596a9 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1381a49c81909d849edbfab7448e completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.