Triple

T21762639
Position Surface form Disambiguated ID Type / Status
Subject Dalby, Queensland E537199 entity
Predicate hasFacility P105 FINISHED
Object Dalby 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: Dalby Hospital | Statement: [Dalby, Queensland, hasFacility, Dalby Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalby Hospital
Context triple: [Dalby, Queensland, hasFacility, Dalby Hospital]
  • A. Dalby Hospital chosen
    Dalby Hospital is a public healthcare facility serving the medical needs of Dalby and the surrounding region in Queensland, Australia.
  • B. Hughenden Hospital
    Hughenden Hospital is a small rural healthcare facility serving the medical needs of the Hughenden community and surrounding areas in Queensland, Australia.
  • C. 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.
  • D. Kidderminster Hospital
    Kidderminster Hospital is a National Health Service (NHS) hospital serving the town of Kidderminster and the surrounding Worcestershire area in England.
  • E. Orsett Hospital
    Orsett Hospital is a community hospital in Orsett, Essex, England, providing local healthcare services and outpatient facilities.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a711dc8190a786c9849dc344e8 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.