Triple

T23862284
Position Surface form Disambiguated ID Type / Status
Subject Sparkbrook E592480 entity
Predicate healthcareRegion P77961 FINISHED
Object NHS Birmingham and Solihull
NHS Birmingham and Solihull is a regional National Health Service organisation responsible for planning and delivering healthcare services across the Birmingham and Solihull area in England.
 E1604089 NE FINISHED

How this triple was built (3 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 Birmingham and Solihull | Statement: [Sparkbrook, healthcareRegion, NHS Birmingham and Solihull]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NHS Birmingham and Solihull
Triple: [Sparkbrook, healthcareRegion, NHS Birmingham and Solihull]
Generated description
NHS Birmingham and Solihull is a regional National Health Service organisation responsible for planning and delivering healthcare services across the Birmingham and Solihull area in England.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: healthcareRegion
Context triple: [Sparkbrook, healthcareRegion, NHS Birmingham and Solihull]
  • A. locatedInHealthRegion chosen
    Indicates that an entity is situated within the geographic or administrative boundaries of a specified health region.
  • B. isRegionalHospital
    Indicates that a hospital serves as a primary medical center for a specific geographic region, providing comprehensive healthcare services to that area.
  • C. seatIsRegionalMedicalHub
    Indicates that the administrative seat functions as a central hub for regional medical or healthcare services.
  • D. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
  • E. countyRegion
    Indicates that a county is located within, or is administratively part of, a larger geographic region.
  • F. None of above.

Provenance (6 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_69e25d22eb488190914b193aff952e83 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cae0b4bc819089f491d9e817d160 completed April 29, 2026, 9:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69ba28fc81908eff51ddfefd7cda completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d42f0dc8190a01c02db0e089d68 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e02703881908fa9c327c5808bf5 completed May 21, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f1614a65a88190bde1efb368a151e4 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:13 p.m.