Triple

T11427880
Position Surface form Disambiguated ID Type / Status
Subject SABMiller E270799 entity
Predicate tradedAs P2822 FINISHED
Object JSE:SAB
JSE:SAB was the Johannesburg Stock Exchange ticker symbol for SABMiller, one of the world’s largest multinational brewing and beverage companies before its acquisition by Anheuser-Busch InBev.
 E924853 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: JSE:SAB | Statement: [SABMiller, tradedAs, JSE:SAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JSE:SAB
Context triple: [SABMiller, tradedAs, JSE:SAB]
  • A. JSE
    JSE is the Johannesburg Stock Exchange, the primary securities exchange in South Africa and one of the largest in Africa.
  • B. JSE Limited
    JSE Limited is the Johannesburg-based stock exchange and the primary securities market for South Africa and much of the African continent.
  • C. SAB
    SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
  • D. SAB
    SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
  • E. SABE
    SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
  • 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: JSE:SAB
Triple: [SABMiller, tradedAs, JSE:SAB]
Generated description
JSE:SAB was the Johannesburg Stock Exchange ticker symbol for SABMiller, one of the world’s largest multinational brewing and beverage companies before its acquisition by Anheuser-Busch InBev.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JSE:SAB
Target entity description: JSE:SAB was the Johannesburg Stock Exchange ticker symbol for SABMiller, one of the world’s largest multinational brewing and beverage companies before its acquisition by Anheuser-Busch InBev.
  • A. JSE
    JSE is the Johannesburg Stock Exchange, the primary securities exchange in South Africa and one of the largest in Africa.
  • B. JSE Limited
    JSE Limited is the Johannesburg-based stock exchange and the primary securities market for South Africa and much of the African continent.
  • C. SAB
    SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
  • D. SAB
    SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
  • E. SABE
    SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8d923688190bb4d61d57768e10e completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.