Triple

T14448277
Position Surface form Disambiguated ID Type / Status
Subject Dalby E358261 entity
Predicate hasFacility P105 FINISHED
Object Dalby Hospital
Dalby Hospital is a public healthcare facility serving the medical needs of Dalby and the surrounding region in Queensland, Australia.
E1099658 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: Dalby Hospital | Statement: [Dalby, hasFacility, Dalby Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalby Hospital
Context triple: [Dalby, hasFacility, Dalby Hospital]
  • A. Morriston Hospital
    Morriston Hospital is a major teaching and acute care hospital in Swansea, Wales, providing a wide range of specialist and emergency medical services for the region.
  • B. Kidderminster Hospital
    Kidderminster Hospital is a National Health Service (NHS) hospital serving the town of Kidderminster and the surrounding Worcestershire area in England.
  • C. Orsett Hospital
    Orsett Hospital is a community hospital in Orsett, Essex, England, providing local healthcare services and outpatient facilities.
  • D. Fulbourn Hospital
    Fulbourn Hospital is a psychiatric hospital near Cambridge, England, providing mental health services and care.
  • E. Balgrist University Hospital
    Balgrist University Hospital is a leading Swiss academic medical center in Zurich specializing in musculoskeletal medicine, orthopedics, and rehabilitation.
  • 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: Dalby Hospital
Triple: [Dalby, hasFacility, Dalby Hospital]
Generated description
Dalby Hospital is a public healthcare facility serving the medical needs of Dalby and the surrounding region in Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dalby Hospital
Target entity description: Dalby Hospital is a public healthcare facility serving the medical needs of Dalby and the surrounding region in Queensland, Australia.
  • A. Morriston Hospital
    Morriston Hospital is a major teaching and acute care hospital in Swansea, Wales, providing a wide range of specialist and emergency medical services for the region.
  • B. Kidderminster Hospital
    Kidderminster Hospital is a National Health Service (NHS) hospital serving the town of Kidderminster and the surrounding Worcestershire area in England.
  • C. Orsett Hospital
    Orsett Hospital is a community hospital in Orsett, Essex, England, providing local healthcare services and outpatient facilities.
  • D. Fulbourn Hospital
    Fulbourn Hospital is a psychiatric hospital near Cambridge, England, providing mental health services and care.
  • E. Balgrist University Hospital
    Balgrist University Hospital is a leading Swiss academic medical center in Zurich specializing in musculoskeletal medicine, orthopedics, and rehabilitation.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9160126c8190a2862a1a3dde1aff completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdf451c8190baaa3f7500eaea16 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5c549f6c819085f8aad53d2a770f completed May 8, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd5cc9ec1c8190b761c9459ca0c52e completed May 8, 2026, 3:47 a.m.
Created at: April 10, 2026, 1:19 a.m.