Triple

T21490766
Position Surface form Disambiguated ID Type / Status
Subject Farinelli and the King E530228 entity
Predicate transferredTo P1660 FINISHED
Object West End NE NERFINISHED

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: West End | Statement: [Farinelli and the King, transferredTo, West End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West End
Context triple: [Farinelli and the King, transferredTo, West End]
  • A. West End chosen
    West End is London’s renowned theatre district, famous for its high-profile stage productions and vibrant entertainment scene.
  • B. West End
    West End is a residential neighbourhood within the city of New Westminster in British Columbia, Canada.
  • C. West End
    West End is a historic Atlanta neighborhood known as a longstanding center of African American culture, community life, and heritage.
  • D. West End
    West End is a historic, residential neighborhood in Hartford, Connecticut, known for its tree-lined streets, diverse community, and distinctive late-19th- and early-20th-century architecture.
  • E. West End
    West End is a village and civil parish located within the Surrey Heath borough in Surrey, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.