Triple

T10614482
Position Surface form Disambiguated ID Type / Status
Subject City of Sydney local government area E276083 entity
Predicate contains P35 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: [City of Sydney local government area, contains, Darling Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darling Harbour
Context triple: [City of Sydney local government area, contains, 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. Rushcutters Bay Park
    Rushcutters Bay Park is a harbourside public park in Sydney, Australia, known for its open green spaces, waterfront views, and recreational facilities.
  • C. Bennelong Point
    Bennelong Point is a prominent headland on Sydney Harbour that forms the site of the iconic Sydney Opera House.
  • D. Chelsea Harbour
    Chelsea Harbour is a luxury riverside development in West London featuring a marina, upscale apartments, and a hotel complex.
  • E. 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.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5da6808190bd4cb486431dc42c completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b716a088190b84982f1a8173e0a completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:33 p.m.