Triple

T3656473
Position Surface form Disambiguated ID Type / Status
Subject The Domain, Sydney E77541 entity
Predicate near P350 FINISHED
Object Sydney Hospital E77540 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: Sydney Hospital | Statement: [The Domain, Sydney, near, Sydney Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Hospital
Context triple: [The Domain, Sydney, near, Sydney Hospital]
  • A. Sydney Hospital chosen
    Sydney Hospital is a historic public hospital in central Sydney, Australia, recognized as one of the country’s oldest medical institutions.
  • B. Wollongong Hospital
    Wollongong Hospital is a major public teaching and referral hospital serving the Illawarra region of New South Wales, Australia.
  • C. Royal Melbourne Hospital
    The Royal Melbourne Hospital is a major public teaching and research hospital in Melbourne, Australia, renowned for providing tertiary and quaternary care across a wide range of medical specialties.
  • D. Gosford Hospital
    Gosford Hospital is a major public healthcare and teaching hospital serving the Central Coast region of New South Wales, Australia.
  • E. St Vincent’s Hospital Melbourne
    St Vincent’s Hospital Melbourne is a major public teaching and research hospital in Melbourne, Australia, known for providing tertiary healthcare services and clinical training in partnership with the University of Melbourne.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3bc2b408190a3a51f9cde5a03b5 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4883dc5408190a6e7e110acf03a15 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.