Triple

T4340932
Position Surface form Disambiguated ID Type / Status
Subject Filmstaden Sergel E97576 entity
Predicate ownedBy P347 FINISHED
Object Filmstaden E97576 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: Filmstaden | Statement: [Filmstaden Sergel, ownedBy, Filmstaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filmstaden
Context triple: [Filmstaden Sergel, ownedBy, Filmstaden]
  • A. Filmstaden Sergel chosen
    Filmstaden Sergel is a large, modern multiplex cinema in central Stockholm known for showing mainstream films and hosting major movie premieres.
  • B. Filmstaden Bergakungen
    Filmstaden Bergakungen is a large, modern cinema complex in Gothenburg, Sweden, known for its multiple screens and premium movie-going experience.
  • C. City of Film
    City of Film is a UNESCO Creative Cities Network title awarded to cities recognized for their rich film heritage, active film industry, and strong commitment to cinema-related culture and education.
  • D. Film City
    Film City is a major media and entertainment production hub in Noida, housing numerous television studios, news channels, and film production facilities.
  • E. BIFF Theater
    BIFF Theater is the main open-air screening venue of the Busan International Film Festival, located within the Busan Cinema Center in South Korea.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9fd4988190afa9e04b029cd573 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:14 p.m.