Triple

T15843037
Position Surface form Disambiguated ID Type / Status
Subject Vijay Mallya E384143 entity
Predicate employer P7 FINISHED
Object United Breweries Group E1180653 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: United Breweries Group | Statement: [Vijay Mallya, employer, United Breweries Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Breweries Group
Context triple: [Vijay Mallya, employer, United Breweries Group]
  • A. United Breweries Group chosen
    United Breweries Group is a major Indian conglomerate best known for its Kingfisher beer brand and diversified interests in alcoholic beverages and other industries.
  • B. Wadia Group
    Wadia Group is one of India’s oldest conglomerates, with diversified interests spanning textiles, aviation, real estate, food, and chemicals.
  • C. Godrej Group
    Godrej Group is a major Indian conglomerate with diversified interests spanning consumer goods, real estate, appliances, agriculture, and industrial engineering.
  • D. Labatt Brewing Company
    Labatt Brewing Company is a major Canadian brewery founded in 1847, known for producing a wide range of popular beer brands and being one of the country's largest and oldest brewers.
  • E. Mehta Group
    Mehta Group is a diversified Indian business conglomerate involved in sectors such as manufacturing, trading, and services.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142ea3da08190a9d2d5917f84907c completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93ddce4819086174b2549f5e12b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.