Triple

T18227208
Position Surface form Disambiguated ID Type / Status
Subject Atlas computer E436450 entity
Predicate operatedBy P86 FINISHED
Object British Petroleum NE NERFINISHED

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: British Petroleum | Statement: [Atlas computer, operatedBy, British Petroleum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: British Petroleum
Context triple: [Atlas computer, operatedBy, British Petroleum]
  • A. British Petroleum chosen
    British Petroleum is a major British multinational oil and gas company involved in exploration, production, refining, and energy trading worldwide.
  • B. Royal Dutch Shell
    Royal Dutch Shell is a major British-Dutch multinational oil and gas company and one of the largest energy corporations in the world.
  • C. Shell Oil Company
    Shell Oil Company is a major American oil and gas company and the U.S.-based subsidiary of the global energy conglomerate Royal Dutch Shell.
  • D. Exxon
    Exxon is a major American multinational oil and gas corporation known for its global energy production, refining, and petrochemical operations.
  • E. Chevron Corporation
    Chevron Corporation is one of the world’s largest integrated oil and gas companies, involved in exploration, production, refining, and marketing of petroleum and related energy products globally.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.