Triple

T6955519
Position Surface form Disambiguated ID Type / Status
Subject ArtsPark at Young Circle E161232 entity
Predicate operatedBy P86 FINISHED
Object City of Hollywood E157135 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: City of Hollywood | Statement: [ArtsPark at Young Circle, operatedBy, City of Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City of Hollywood
Context triple: [ArtsPark at Young Circle, operatedBy, City of Hollywood]
  • A. Hollywood East
    Hollywood East is a nickname for Wilmington, North Carolina, reflecting its prominence as a major film and television production hub on the U.S. East Coast.
  • B. Hollywood
    Hollywood is a residential neighborhood in the city of College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • C. Hollywood
    Hollywood is a residential neighborhood in Homewood, Alabama, known for its historic homes and suburban character just outside Birmingham.
  • D. Hollywood chosen
    Hollywood is a coastal city in southeastern Florida known for its beaches, boardwalk, and proximity to Miami.
  • E. Hollywood
    Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacf8c8c8190a25dbacebeb4b66e completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7618afb0c8190b1545328c1cee5de completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:29 p.m.