Triple

T6284501
Position Surface form Disambiguated ID Type / Status
Subject MBC E140863 entity
Predicate competitor P1375 FINISHED
Object SBS E297976 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: SBS | Statement: [MBC, competitor, SBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBS
Context triple: [MBC, competitor, SBS]
  • A. SBS
    SBS is an elite British special forces unit of the Royal Navy specializing in maritime counter-terrorism, covert reconnaissance, and special operations.
  • B. SBS chosen
    SBS is a South Korean public broadcasting organization known for its nationwide television and radio networks and popular entertainment, news, and drama programming.
  • C. SBS studios
    SBS studios is a broadcasting facility of Australia’s Special Broadcasting Service located within Melbourne’s Federation Square cultural precinct.
  • D. BSB
    BSB is the railway station code for Varanasi Junction, a major rail hub in the Indian state of Uttar Pradesh.
  • E. BSB
    BSB is the commonly used abbreviation for the Bar Standards Board, the regulatory body for barristers and specialised legal services in England and Wales.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fc906481908283c6c50a212515 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5196864788190934e7c66d450dcf1 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.