Triple

T16355864
Position Surface form Disambiguated ID Type / Status
Subject Greg Vanney E397176 entity
Predicate coached P2169 FINISHED
Object Toronto FC E21669 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: Toronto FC | Statement: [Greg Vanney, coached, Toronto FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto FC
Context triple: [Greg Vanney, coached, Toronto FC]
  • A. Toronto FC chosen
    Toronto FC is a professional Major League Soccer club based in Toronto, Ontario, known as Canada's first MLS franchise.
  • B. Toronto FC II
    Toronto FC II is a professional soccer reserve team that competes in the lower tiers of the U.S. soccer league system and develops players for Major League Soccer side Toronto FC.
  • C. Montreal Impact
    Montreal Impact is a professional soccer club based in Montreal, Quebec, that competes in Major League Soccer (now rebranded as CF Montréal).
  • D. Vancouver Whitecaps FC
    Vancouver Whitecaps FC is a professional soccer club based in Vancouver, Canada, that competes in Major League Soccer and is known for its intense regional rivalries in the Pacific Northwest.
  • E. D.C. United
    D.C. United is a Major League Soccer club based in Washington, D.C., known as one of the league’s early powerhouses with multiple MLS Cup titles.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2face3a54819099418edd0eecc963 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.