Triple

T20506298
Position Surface form Disambiguated ID Type / Status
Subject Josh Frydenberg E503438 entity
Predicate representedElectorate P15002 FINISHED
Object Kooyong 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: Kooyong | Statement: [Josh Frydenberg, representedElectorate, Kooyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kooyong
Context triple: [Josh Frydenberg, representedElectorate, Kooyong]
  • A. Kooyong, Victoria chosen
    Kooyong, Victoria is an affluent residential suburb in Melbourne, Australia, known for its prestigious tennis club and leafy, upscale character.
  • B. Calwell
    Calwell is an Australian federal electoral division in the state of Victoria, represented in the House of Representatives.
  • C. Calwell
    Calwell is a residential suburb in the Tuggeranong district of Canberra, Australia, known for its family-oriented community and local shopping centre.
  • D. Edmund Barton Building
    The Edmund Barton Building is a prominent government office complex in Canberra, Australia, named after the country’s first Prime Minister and housing key federal agencies.
  • E. Dandenong South
    Dandenong South is an industrial and commercial suburb in Melbourne’s south-east, known for its large manufacturing, logistics and warehousing precincts.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc82dd0819085d64d65a1e72c70 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:35 a.m.