Triple

T8126574
Position Surface form Disambiguated ID Type / Status
Subject Edificio Capitol E189743 entity
Predicate hasCinema P1060 FINISHED
Object Cines Capitol E601639 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: Cines Capitol | Statement: [Edificio Capitol, hasCinema, Cines Capitol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cines Capitol
Context triple: [Edificio Capitol, hasCinema, Cines Capitol]
  • A. Capitol Cinema
    Capitol Cinema is a historic movie theater located within Madrid’s iconic Edificio Carrión on Gran Vía, known for its Art Deco architecture and cultural significance.
  • B. cinema Capitol chosen
    Cinema Capitol is a historic movie theater located within Madrid’s iconic Edificio Carrión on Gran Vía, known for its prominent presence in the city’s cultural and architectural landscape.
  • C. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • D. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • E. Arclight Cinemas
    Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc946b44d08190a042932ee908dc2f completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.