Triple

T14232709
Position Surface form Disambiguated ID Type / Status
Subject KNVB Cup E352791 entity
Predicate mostSuccessfulClub P2706 FINISHED
Object Ajax E386269 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: Ajax | Statement: [KNVB Cup, mostSuccessfulClub, Ajax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajax
Context triple: [KNVB Cup, mostSuccessfulClub, Ajax]
  • A. Ajax
    Ajax is a long-standing household cleaning product brand known for its powdered and liquid cleaners, owned by Colgate-Palmolive.
  • B. Ajax
    Ajax is a modern British Army armoured fighting vehicle designed for advanced reconnaissance, surveillance, and battlefield intelligence roles.
  • C. Ajax
    Ajax is a sadistic mutant villain from Marvel's Deadpool comics and film, known for torturing Wade Wilson and inadvertently creating Deadpool.
  • D. Ajax
    Ajax is a suburban town in the eastern part of the Greater Toronto Area in Ontario, Canada, known for its residential communities and growing commercial development along Lake Ontario.
  • E. Ajax chosen
    Ajax is a renowned Dutch football club from Amsterdam, famous for its successful history, attacking style of play, and prolific youth academy.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281bc67c81909bb09ee4a39a0b7f completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.