Triple

T17401449
Position Surface form Disambiguated ID Type / Status
Subject Dandenong Thunder SC E423096 entity
Predicate shortName P43 FINISHED
Object Dandenong Thunder NE NERFINISHED

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: Dandenong Thunder | Statement: [Dandenong Thunder SC, shortName, Dandenong Thunder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandenong Thunder
Context triple: [Dandenong Thunder SC, shortName, Dandenong Thunder]
  • A. Dandenong Thunder SC chosen
    Dandenong Thunder SC is an Australian semi-professional soccer club based in Dandenong, Victoria, known for competing in the National Premier Leagues Victoria.
  • B. Dandenong Rangers
    Dandenong Rangers is an Australian professional basketball team based in Dandenong, Victoria, known for competing in the Women's National Basketball League (WNBL).
  • C. Tamworth Thunderbolts
    The Tamworth Thunderbolts are a sports team representing the town of Tamworth in regional competitions.
  • D. Albury Wodonga Bandits
    Albury Wodonga Bandits are a professional basketball team based in the twin cities of Albury and Wodonga in Australia.
  • E. Gympie Devils
    Gympie Devils is an Australian rugby league club based in Gympie, Queensland, known for developing players such as NRL forward Tino Fa’asuamaleaui.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac126788190b51323bde3c9ba69 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.