Triple

T2337410
Position Surface form Disambiguated ID Type / Status
Subject Reeperbahn entertainment district E44342 entity
Predicate hasNickname P39 FINISHED
Object the sinful mile E258699 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: the sinful mile | Statement: [Reeperbahn entertainment district, hasNickname, the sinful mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the sinful mile
Context triple: [Reeperbahn entertainment district, hasNickname, the sinful mile]
  • A. die sündige Meile chosen
    "Die sündige Meile" is the German nickname for Hamburg’s Reeperbahn, a famous nightlife and red-light district known for its bars, clubs, theaters, and adult entertainment.
  • B. The Street
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • C. Summer Street
    Summer Street is a major commercial thoroughfare in downtown Boston, Massachusetts, known for its retail shops, offices, and proximity to the Downtown Crossing area.
  • D. Miracle Mile
    Miracle Mile is a historic, museum-rich commercial and cultural district in Los Angeles known for its Art Deco architecture and role as a major urban thoroughfare.
  • E. Miracle Mile
    Miracle Mile is a 1988 apocalyptic thriller film set in Los Angeles, following a man who learns of an imminent nuclear strike and races against time to save the woman he loves.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc68ac4348190ab6ec46ec7879643 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea87cbe688190a97a4c11c46f9f54 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:51 p.m.