Triple

T23570456
Position Surface form Disambiguated ID Type / Status
Subject NHS 111 services E580090 entity
Predicate canArrange P123636 FINISHED
Object urgent GP appointments 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: urgent GP appointments | Statement: [NHS 111 services, canArrange, urgent GP appointments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canArrange
Context triple: [NHS 111 services, canArrange, urgent GP appointments]
  • A. canBeArrangedFor
    Indicates that one entity is able to be scheduled, organized, or set up on behalf of or for the benefit of another entity.
  • B. arranges chosen
    Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
  • C. isArrangementOf
    Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
  • D. arrangement
    Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
  • E. commonlyArrangedFor
    Indicates that one entity is typically organized, scheduled, or set up on behalf of 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_69e24601a9108190bc31e83833c980e4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1afd259e4819094b09f3ed76664ea completed April 29, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69f118bcc0b08190b25a8dddfd461a0e completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:36 p.m.