Triple

T2064579
Position Surface form Disambiguated ID Type / Status
Subject Royal Hospital for Children and Young People E45867 entity
Predicate hasPatientGroup P35131 FINISHED
Object children with complex needs LITERAL FINISHED

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: children with complex needs | Statement: [Royal Hospital for Children and Young People, hasPatientGroup, children with complex needs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPatientGroup
Context triple: [Royal Hospital for Children and Young People, hasPatientGroup, children with complex needs]
  • A. hasPatient
    Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
  • B. hasUserGroup
    Indicates that a user is associated with, belongs to, or is a member of a specific user group.
  • C. hasStationGroup
    Indicates that an entity is associated with, or belongs to, a particular group or collection of stations.
  • D. hasCentralGroup
    Indicates that an entity possesses or is associated with a primary or central group within its structure or organization.
  • E. hasMembers
    Indicates that a group, organization, or collection includes certain entities as its members.
  • F. None of above. chosen

Provenance (4 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d5147c8190a264fe42f0634cec completed March 7, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69abb7aee9b48190999620176e3a6ee2 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb87b9fc08190a748c278ef2d7dc7 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:40 p.m.