Triple

T5473409
Position Surface form Disambiguated ID Type / Status
Subject Nicolás Lodeiro E122889 entity
Predicate memberOfSportsTeam P330 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: [Nicolás Lodeiro, memberOfSportsTeam, Ajax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajax
Context triple: [Nicolás Lodeiro, memberOfSportsTeam, 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 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.
  • D. Ajax
    Ajax is an ancient Greek tragedy by Sophocles that dramatizes the downfall and suicide of the great warrior Ajax after the Trojan War.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9230d6d88190a9ac48a4488e1754 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48982b348190907c11424559cf76 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.