Triple

T1902078
Position Surface form Disambiguated ID Type / Status
Subject Orpington Hospital E37710 entity
Predicate serviceUsers P14200 FINISHED
Object NHS patients 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: NHS patients | Statement: [Orpington Hospital, serviceUsers, NHS patients]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceUsers
Context triple: [Orpington Hospital, serviceUsers, NHS patients]
  • A. servesUsers chosen
    Indicates that an entity provides services, functionality, or benefits to one or more users.
  • B. serviceUserRequirement
    Indicates that a user has a specific requirement or need that a service is expected to fulfill.
  • C. serviceWith
    Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
  • D. serviceIn
    Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
  • E. userBase
    Indicates that one entity serves as the primary or foundational group of users associated with another entity.
  • F. None of above.

Provenance (3 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.