Triple

T10051095
Position Surface form Disambiguated ID Type / Status
Subject Lord Bilimoria E207748 entity
Predicate founded P104 FINISHED
Object Cobra Beer E838119 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: Cobra Beer | Statement: [Lord Bilimoria, founded, Cobra Beer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobra Beer
Context triple: [Lord Bilimoria, founded, Cobra Beer]
  • A. Cobra Beer chosen
    Cobra Beer is a popular Indian-style beer brand, known for its smooth taste and strong presence in UK and international markets, particularly alongside Indian cuisine.
  • B. Zorok Beer
    Zorok Beer is a lager brand produced by Asia Pacific Breweries, known for its easy-drinking taste and presence in several Asian markets.
  • C. Bintang Beer
    Bintang Beer is a popular Indonesian pale lager, often associated with the country’s major beer brand and widely consumed by locals and tourists alike.
  • D. Carlby
    Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
  • E. Yebisu Beer
    Yebisu Beer is a premium Japanese beer brand, known for its rich, malty flavor and long brewing tradition under Sapporo Breweries.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8fb23c8190b48b30cb2368dc1f completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a4064a48190b4fdb6bf3ea5af05 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:56 p.m.