Triple

T22928740
Position Surface form Disambiguated ID Type / Status
Subject John Wyer Automotive E569377 entity
Predicate sponsor P67 FINISHED
Object Gulf Oil 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: Gulf Oil | Statement: [John Wyer Automotive, sponsor, Gulf Oil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulf Oil
Context triple: [John Wyer Automotive, sponsor, Gulf Oil]
  • A. Gulf Oil chosen
    Gulf Oil was a major American oil company and petroleum brand that played a prominent role in the global energy industry throughout much of the 20th century.
  • B. South Oil Company
    South Oil Company is a major Iraqi state-owned oil enterprise responsible for exploration, production, and development of oil fields primarily in the southern region of Iraq.
  • 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. Arabian American Oil Company
    Arabian American Oil Company was the original name of Saudi Aramco, the state-owned Saudi petroleum and natural gas company that became one of the world’s largest energy producers.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180db6db88190bc8efb691dcdfdba completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:44 p.m.