Triple

T21731329
Position Surface form Disambiguated ID Type / Status
Subject Film i Väst AB E536410 entity
Predicate hasFilmingHubNickname P21046 FINISHED
Object Trollywood NE NERFINISHED

How this triple was built (3 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: Trollywood | Statement: [Film i Väst AB, hasFilmingHubNickname, Trollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trollywood
Context triple: [Film i Väst AB, hasFilmingHubNickname, Trollywood]
  • A. Trollywood chosen
    Trollywood is the film industry nickname for Trollhättan, Sweden, known for its prominent movie studios and frequent use as a filming location.
  • B. Lollywood
    Lollywood is the Pakistani film industry based in Lahore, historically known for producing Punjabi- and Urdu-language movies.
  • C. Wellywood
    Wellywood is a playful nickname for Wellington, New Zealand, referencing its prominent film industry and association with director Peter Jackson.
  • D. Tulu cinema
    Tulu cinema is the regional film industry that produces movies in the Tulu language, primarily serving audiences in the coastal Karnataka region of India.
  • E. Dhallywood
    Dhallywood is the Bangladeshi Bengali-language film industry centered in Dhaka, known for producing mainstream commercial cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFilmingHubNickname
Context triple: [Film i Väst AB, hasFilmingHubNickname, Trollywood]
  • A. hasFilmIndustryCenter chosen
    Indicates that a location serves as a primary hub or central base for activities related to the film industry.
  • B. hasStreetNickname
    Indicates that an entity is known by a particular informal or colloquial name used on the street or in everyday speech.
  • C. notableFilmingLocation
    Indicates that a place served as a significant or well-known location where a film or television production was shot.
  • D. regionalNickname
    Indicates that one entity is an informal or colloquial name used for another entity within a specific geographic region.
  • E. touristRegionNickname
    Indicates that a tourist region is known by a particular informal or colloquial nickname.
  • F. None of above.

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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0713c48190a38b3963cb3cbaf0 completed April 28, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:48 p.m.