Triple

T21699178
Position Surface form Disambiguated ID Type / Status
Subject Flowers Hospital E535607 entity
Predicate name P16 FINISHED
Object Flowers 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: Flowers Hospital | Statement: [Flowers Hospital, name, Flowers Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flowers Hospital
Context triple: [Flowers Hospital, name, Flowers Hospital]
  • A. Flowers Hospital chosen
    Flowers Hospital is a regional medical center in Dothan, Alabama, providing a wide range of inpatient and outpatient healthcare services to the Wiregrass area.
  • B. Emerald Hospital
    Emerald Hospital is a public healthcare facility serving the medical needs of the community in Emerald, Queensland, Australia.
  • C. Sparrow Hospital
    Sparrow Hospital is a major regional medical center in Lansing, Michigan, providing a wide range of healthcare services and serving as a key hospital in the mid-Michigan area.
  • 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. Robina Hospital
    Robina Hospital is a major public healthcare facility serving the Robina and wider Gold Coast region in Queensland, Australia.
  • 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7de9888190bbca7717a32f9888 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.