Triple

T4226506
Position Surface form Disambiguated ID Type / Status
Subject Dandenong, Victoria E94470 entity
Predicate hasPark P105 FINISHED
Object Dandenong Park E94470 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: Dandenong Park | Statement: [Dandenong, Victoria, hasPark, Dandenong Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandenong Park
Context triple: [Dandenong, Victoria, hasPark, Dandenong Park]
  • A. Dandenong, Victoria chosen
    Dandenong, Victoria is a suburb in Melbourne, Australia, known historically as an industrial and manufacturing hub.
  • B. Kurrajong
    Kurrajong is an electorate of the Australian Capital Territory Legislative Assembly that covers central Canberra and surrounding suburbs.
  • C. Ingliston
    Ingliston is a village and district in western Edinburgh, Scotland, best known for hosting the Royal Highland Centre and being adjacent to Edinburgh Airport.
  • D. Brookvale
    Brookvale is a residential suburb within the town of Runcorn in Cheshire, England.
  • E. Bundall
    Bundall is a suburb on Queensland’s Gold Coast in Australia, known for its canals, waterfront properties, and proximity to the city’s central business and entertainment areas.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4ed34c819081d1479ce87cd78c completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59647bd948190afc168ba1057a52f completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.