Triple

T10961201
Position Surface form Disambiguated ID Type / Status
Subject Ladbrokes Trophy E258976 entity
Predicate sponsor P67 FINISHED
Object Ladbrokes E258979 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: Ladbrokes | Statement: [Ladbrokes Trophy, sponsor, Ladbrokes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladbrokes
Context triple: [Ladbrokes Trophy, sponsor, Ladbrokes]
  • A. William Hill
    William Hill was a 19th-century British architect known for designing prominent civic buildings, including notable town halls in England.
  • B. Bet365
    Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
  • C. Ladbrokes (for Ladbrokes Trophy) chosen
    Ladbrokes (for Ladbrokes Trophy) is a major British betting and gambling company that serves as the title sponsor of the prestigious Ladbrokes Trophy horse race.
  • D. Betfred
    Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
  • E. Ascot Partners
    Ascot Partners was a hedge fund that acted as a major feeder fund channeling investor money into Bernard Madoff’s Ponzi scheme.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7712bf65c8190b847784d885876fd completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d761d3c48190af8e0aedf96ee99f completed April 18, 2026, 12:59 a.m.
Created at: April 8, 2026, 9:23 p.m.