Triple

T20508525
Position Surface form Disambiguated ID Type / Status
Subject 66 Steps E503495 entity
Predicate near P350 FINISHED
Object Princess Margaret Hospital — NE NERFINISHED

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: Princess Margaret Hospital | Statement: [66 Steps, near, Princess Margaret Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Princess Margaret Hospital
Context triple: [66 Steps, near, Princess Margaret Hospital]
  • A. Princess Margaret Hospital chosen
    Princess Margaret Hospital is a major public general hospital in Hong Kong that provides a wide range of acute and specialist medical services.
  • B. Prince of Wales Hospital
    Prince of Wales Hospital is a major public teaching hospital in Hong Kong that serves as a key clinical training center for medical students and healthcare professionals.
  • C. Queen Elizabeth Central Hospital
    Queen Elizabeth Central Hospital is a major public referral and teaching hospital in Malawi, serving as a key center for medical care and training in the southern region.
  • D. Queen Elizabeth Hospital
    Queen Elizabeth Hospital is a major public teaching hospital in Hong Kong affiliated with The Chinese University of Hong Kong’s Faculty of Medicine.
  • E. Queen Mary Hospital
    Queen Mary Hospital is a major public teaching and acute care hospital in Hong Kong, closely affiliated with the University of Hong Kong’s medical faculty.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc8f3c881908ed2e0257a057e73 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.