Triple

T2692283
Position Surface form Disambiguated ID Type / Status
Subject Toronto Argonauts E58429 entity
Predicate hasNickname P39 FINISHED
Object Boatmen E57683 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: Boatmen | Statement: [Toronto Argonauts, hasNickname, Boatmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boatmen
Context triple: [Toronto Argonauts, hasNickname, Boatmen]
  • A. Boatmen chosen
    Boatmen is the nickname and mascot identity associated with the Canadian Football League's Toronto Argonauts, reflecting the team's nautical heritage.
  • B. River Suck
    River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
  • C. The Water Man
    The Water Man is a 2020 family adventure-drama film and the directorial debut of David Oyelowo, following a boy’s mystical quest to save his ailing mother.
  • D. Frogmen
    Frogmen is an informal nickname for U.S. Navy SEALs and other military combat divers known for their underwater infiltration and special operations capabilities.
  • E. Achterwasser
    Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:54 p.m.