Triple

T6874867
Position Surface form Disambiguated ID Type / Status
Subject Vivid Sydney E158647 entity
Predicate locatedIn P40 FINISHED
Object Darling Harbour E58756 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: Darling Harbour | Statement: [Vivid Sydney, locatedIn, Darling Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darling Harbour
Context triple: [Vivid Sydney, locatedIn, Darling Harbour]
  • A. Darling Harbour chosen
    Darling Harbour is a major waterfront entertainment and tourism precinct in central Sydney, known for its restaurants, attractions, and cultural venues.
  • B. Bennelong Point
    Bennelong Point is a prominent headland on Sydney Harbour that forms the site of the iconic Sydney Opera House.
  • C. Chelsea Harbour
    Chelsea Harbour is a luxury riverside development in West London featuring a marina, upscale apartments, and a hotel complex.
  • D. Broadbeach Waters
    Broadbeach Waters is a residential suburb on Queensland’s Gold Coast in Australia, known for its canal estates and proximity to beaches and waterways.
  • E. Mosman Park
    Mosman Park is a riverside suburb of Perth, Western Australia, known for its scenic location along the Swan River and residential character.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c9e7b481909079b0f1fb1bc217 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742b66ca08190bed17fa3ab6733ef completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.