Triple

T3737945
Position Surface form Disambiguated ID Type / Status
Subject VB Commodore E79629 entity
Predicate assemblyLocation P40 FINISHED
Object Dandenong, Victoria 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, Victoria | Statement: [VB Commodore, assemblyLocation, Dandenong, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandenong, Victoria
Context triple: [VB Commodore, assemblyLocation, Dandenong, Victoria]
  • A. Dandenong, Victoria chosen
    Dandenong, Victoria is a suburb in Melbourne, Australia, known historically as an industrial and manufacturing hub.
  • B. Tullamarine, Victoria
    Tullamarine, Victoria is a suburb in Melbourne best known as the location of the city’s primary international airport.
  • C. Point Cook, Victoria
    Point Cook, Victoria is a coastal suburb of Melbourne known as the birthplace of the Royal Australian Air Force and home to historic military aviation facilities.
  • D. City of Monash, Victoria
    The City of Monash is a local government area in Melbourne’s southeastern suburbs, named in honour of Australian military commander and engineer Sir John Monash.
  • E. Renmark
    Renmark is a rural town in South Australia's Riverland region, known for its irrigated fruit production and location along the Murray River.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3e9248819098d481fe29e1c628 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f857208190a51b264a5affca3d completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.