Triple

T7129869
Position Surface form Disambiguated ID Type / Status
Subject North Shore E166158 entity
Predicate contains P35 FINISHED
Object Cremorne E625802 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: Cremorne | Statement: [North Shore, contains, Cremorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cremorne
Context triple: [North Shore, contains, Cremorne]
  • A. Cremorne chosen
    Cremorne is a harbourside suburb on Sydney’s Lower North Shore known for its residential character, local shops, and proximity to the city centre.
  • B. Risdon
    Risdon is a locality in Tasmania, Australia, situated on the banks of the Derwent River near Hobart.
  • C. Thornloe
    Thornloe is a small rural village located in Ontario’s Timiskaming District, known for its agricultural community in northeastern Canada.
  • D. Daleys Point
    Daleys Point is a coastal suburb on the Central Coast of New South Wales, Australia, known for its waterfront location and residential character.
  • E. Cremorne Tower
    Cremorne Tower is a residential high-rise block that forms part of the World’s End Estate in Chelsea, London.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.