Triple

T2610291
Position Surface form Disambiguated ID Type / Status
Subject Queen Victoria Building E58755 entity
Predicate owner P347 FINISHED
Object City of Sydney E8462 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: City of Sydney | Statement: [Queen Victoria Building, owner, City of Sydney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Sydney
Context triple: [Queen Victoria Building, owner, City of Sydney]
  • A. Sydney chosen
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • B. North Sydney
    North Sydney is a major commercial and residential district on the lower North Shore of Sydney, known for its high-rise office towers, proximity to the Sydney Harbour Bridge, and views over Sydney Harbour.
  • C. Wollongong
    Wollongong is a coastal city in Australia known for its heavy industry, port facilities, and popular surf beaches along the Illawarra region.
  • D. Eastern Suburbs, Sydney
    Eastern Suburbs, Sydney is an affluent coastal region of Sydney known for its iconic beaches like Bondi, harbourside suburbs, and proximity to the city centre.
  • E. Melbourne
    Melbourne is a major Australian city known for its vibrant arts scene, diverse culture, and status as a leading center for sports and education.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd86a9c34819082623c4ee2c5069b completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90817f8c81908c3792bd406c5ce6 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.