Triple

T15556572
Position Surface form Disambiguated ID Type / Status
Subject Emerald, Queensland E370883 entity
Predicate hasHospital P105 FINISHED
Object Emerald Hospital
Emerald Hospital is a public healthcare facility serving the medical needs of the community in Emerald, Queensland, Australia.
E1164079 NE FINISHED

How this triple was built (4 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: Emerald Hospital | Statement: [Emerald, Queensland, hasHospital, Emerald Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emerald Hospital
Context triple: [Emerald, Queensland, hasHospital, Emerald Hospital]
  • A. Oberon Hospital
    Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
  • B. Goodmayes Hospital
    Goodmayes Hospital is a mental health and community services hospital in the London Borough of Redbridge, England.
  • C. Robina Hospital
    Robina Hospital is a major public healthcare facility serving the Robina and wider Gold Coast region in Queensland, Australia.
  • D. William Harvey Hospital
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • E. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emerald Hospital
Triple: [Emerald, Queensland, hasHospital, Emerald Hospital]
Generated description
Emerald Hospital is a public healthcare facility serving the medical needs of the community in Emerald, Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emerald Hospital
Target entity description: Emerald Hospital is a public healthcare facility serving the medical needs of the community in Emerald, Queensland, Australia.
  • A. Oberon Hospital
    Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
  • B. Goodmayes Hospital
    Goodmayes Hospital is a mental health and community services hospital in the London Borough of Redbridge, England.
  • C. Robina Hospital
    Robina Hospital is a major public healthcare facility serving the Robina and wider Gold Coast region in Queensland, Australia.
  • D. William Harvey Hospital
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • E. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • F. None of above. chosen

Provenance (5 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a97dbfc8190a98cbbac5e71ba88 completed April 16, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff470492f48190852ede832157ed10 completed May 9, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69ff47e5647c81909b785a1212c4bc50 completed May 9, 2026, 2:42 p.m.
Created at: April 10, 2026, 4:09 a.m.