Triple

T4395153
Position Surface form Disambiguated ID Type / Status
Subject Pickering E99468 entity
Predicate borderedBy P224 FINISHED
Object Ajax E99469 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: [Pickering, borderedBy, Ajax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajax
Context triple: [Pickering, borderedBy, 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 chosen
    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.
  • C. Ajax
    Ajax is an ancient Greek tragedy by Sophocles that dramatizes the downfall and suicide of the great warrior Ajax after the Trojan War.
  • D. Ajax
    Ajax is a renowned Dutch football club from Amsterdam, famous for its successful history, attacking style of play, and prolific youth academy.
  • E. Ash
    Ash is the insecure yet determined son of Mr. Fox in Roald Dahl’s story and its film adaptation, known for his quirky personality and desire to prove himself.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352ab928c81909f4406d5df3e081b completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e536e1848190a2517ab351adfe48 completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:20 p.m.