Triple

T12648173
Position Surface form Disambiguated ID Type / Status
Subject South Mumbai E302085 entity
Predicate contains P35 FINISHED
Object Regal Cinema
Regal Cinema is a historic art deco movie theatre in Mumbai, India, known as one of the city’s earliest and most iconic cinema halls.
 E998818 NE FINISHED

How this triple was built (4 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: Regal Cinema | Statement: [South Mumbai, contains, Regal Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Regal Cinema
Context triple: [South Mumbai, contains, Regal Cinema]
  • 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 City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • C. Olympion Cinema
    Olympion Cinema is a historic movie theater and cultural landmark in Thessaloniki, Greece, best known for hosting the city’s prestigious international film festival.
  • D. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • E. Rex Cinema
    Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Regal Cinema
Triple: [South Mumbai, contains, Regal Cinema]
Generated description
Regal Cinema is a historic art deco movie theatre in Mumbai, India, known as one of the city’s earliest and most iconic cinema halls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Regal Cinema
Target entity description: Regal Cinema is a historic art deco movie theatre in Mumbai, India, known as one of the city’s earliest and most iconic cinema halls.
  • 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 City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • C. Olympion Cinema
    Olympion Cinema is a historic movie theater and cultural landmark in Thessaloniki, Greece, best known for hosting the city’s prestigious international film festival.
  • D. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • E. Rex Cinema
    Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • F. None of above. chosen

Provenance (5 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719a45d881908dd895836a225781 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6751f79148190a1735abf489fd106 completed May 2, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69f675c42fec8190b60751c0db88f3b6 completed May 2, 2026, 10:08 p.m.
Created at: April 9, 2026, 5:17 p.m.