Triple

T18059905
Position Surface form Disambiguated ID Type / Status
Subject SF Sergel E432142 entity
Predicate operatedBy P86 FINISHED
Object SF Bio
SF Bio is a major Swedish cinema chain and film theater operator known for running multiplexes such as SF Sergel.
 E1304334 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: SF Bio | Statement: [SF Sergel, operatedBy, SF Bio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SF Bio
Context triple: [SF Sergel, operatedBy, SF Bio]
  • A. MetroBiotech
    MetroBiotech is a biotechnology company focused on developing therapies that target aging and age-related diseases, particularly through NAD⁺-boosting compounds.
  • B. SF
    SF is the IATA airline designator assigned to Tassili Airlines, an Algerian carrier.
  • C. SF
    SF is the abbreviated name commonly used for SF Studios, a major Swedish film production and distribution company.
  • D. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • E. SFI
    SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
  • 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: SF Bio
Triple: [SF Sergel, operatedBy, SF Bio]
Generated description
SF Bio is a major Swedish cinema chain and film theater operator known for running multiplexes such as SF Sergel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SF Bio
Target entity description: SF Bio is a major Swedish cinema chain and film theater operator known for running multiplexes such as SF Sergel.
  • A. MetroBiotech
    MetroBiotech is a biotechnology company focused on developing therapies that target aging and age-related diseases, particularly through NAD⁺-boosting compounds.
  • B. SF
    SF is the IATA airline designator assigned to Tassili Airlines, an Algerian carrier.
  • C. SF
    SF is the abbreviated name commonly used for SF Studios, a major Swedish film production and distribution company.
  • D. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • E. SFI
    SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c10583648190a161c58abf4853d5 completed April 19, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03566907988190aef2b0ceb2c9f4dc completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03591fa4cc819084d1e50b7e5263cf completed May 12, 2026, 4:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0359a3ead48190996d95ad5aaa2302 completed May 12, 2026, 4:47 p.m.
Created at: April 10, 2026, 10:26 a.m.