Triple

T10670988
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt skyline E251483 entity
Predicate dominates P2547 FINISHED
Object Bankenviertel E695204 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: Bankenviertel | Statement: [Frankfurt skyline, dominates, Bankenviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bankenviertel
Context triple: [Frankfurt skyline, dominates, Bankenviertel]
  • A. Bankenviertel chosen
    Bankenviertel is Frankfurt am Main’s central financial district, known for its concentration of major banks, skyscrapers, and financial institutions.
  • 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. Magniviertel
    Magniviertel is a historic quarter in Braunschweig, Germany, known for its medieval street layout, half-timbered houses, and lively cultural and nightlife scene.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9886e3f108190bb6f17d4e2f394ef completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:09 p.m.