Triple

T9230404
Position Surface form Disambiguated ID Type / Status
Subject TNK-BP E221801 entity
Predicate foundedBy P104 FINISHED
Object Access Industries E117362 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: Access Industries | Statement: [TNK-BP, foundedBy, Access Industries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Access Industries
Context triple: [TNK-BP, foundedBy, Access Industries]
  • A. Access Industries chosen
    Access Industries is a privately held industrial group and investment company founded by Len Blavatnik, with major holdings across media, telecommunications, natural resources, and real estate.
  • B. ACCESS Co., Ltd.
    ACCESS Co., Ltd. is a Japanese software company best known for its mobile and embedded platform technologies, including its role in developing and maintaining versions of the Palm OS operating system.
  • C. Gateway, Inc.
    Gateway, Inc. is an American computer hardware company best known for its consumer PCs and distinctive cow-spotted packaging.
  • D. Access Express
    Access Express is a limited express train service in Japan that provides direct, rapid connections between central Tokyo and Narita Airport.
  • E. Gateway Corporation
    Gateway Corporation is an economic development organization in Greater Cleveland focused on promoting local growth and revitalization.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee17a2dc8190b373f78be7247f0d completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077a789f0819087d7f7612bbeaf6a completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:29 p.m.