Triple

T11511948
Position Surface form Disambiguated ID Type / Status
Subject 2015–2016 UEFA Champions League E272933 entity
Predicate sponsor P67 FINISHED
Object Gazprom E282855 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: Gazprom | Statement: [2015–2016 UEFA Champions League, sponsor, Gazprom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gazprom
Context triple: [2015–2016 UEFA Champions League, sponsor, Gazprom]
  • A. Gazprom chosen
    Gazprom is a Russian state-controlled energy giant and one of the world’s largest producers and exporters of natural gas.
  • B. Rosneft
    Rosneft is a major Russian state-controlled oil company and one of the world’s largest publicly traded petroleum producers.
  • C. Rosneftegaz
    Rosneftegaz is a Russian state-owned holding company that historically managed the government’s stakes in major oil and gas enterprises, including what became Rosneft.
  • D. Gazpromavia
    Gazpromavia is a Russian airline owned by the energy company Gazprom, operating passenger and cargo flights as well as corporate and charter services, particularly in support of the oil and gas industry.
  • E. Tatneft
    Tatneft is a major Russian oil and gas company headquartered in the Republic of Tatarstan and among the country’s largest vertically integrated energy producers.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db7af688190b68668eb39d382a8 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.