Triple

T6308642
Position Surface form Disambiguated ID Type / Status
Subject Sutton E141441 entity
Predicate hasHospital P105 FINISHED
Object Sutton Hospital
Sutton Hospital is a healthcare facility serving the local community in Sutton, England.
 E584787 NE FINISHED

How this triple was built (4 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: Sutton Hospital | Statement: [Sutton, hasHospital, Sutton Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sutton Hospital
Context triple: [Sutton, hasHospital, Sutton Hospital]
  • A. Morriston Hospital
    Morriston Hospital is a major teaching and acute care hospital in Swansea, Wales, providing a wide range of specialist and emergency medical services for the region.
  • B. Orpington Hospital
    Orpington Hospital is a local NHS healthcare facility in Orpington, London, providing a range of outpatient, rehabilitation, and community health services.
  • C. Maidstone Hospital
    Maidstone Hospital is a major National Health Service (NHS) district general hospital serving Maidstone and the surrounding areas in Kent, England.
  • D. Scone Hospital
    Scone Hospital is a regional healthcare facility serving the medical needs of the community in and around Scone, New South Wales, Australia.
  • E. Weybridge Hospital
    Weybridge Hospital is a local healthcare facility serving the community of Weybridge in Surrey, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sutton Hospital
Triple: [Sutton, hasHospital, Sutton Hospital]
Generated description
Sutton Hospital is a healthcare facility serving the local community in Sutton, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sutton Hospital
Target entity description: Sutton Hospital is a healthcare facility serving the local community in Sutton, England.
  • A. Morriston Hospital
    Morriston Hospital is a major teaching and acute care hospital in Swansea, Wales, providing a wide range of specialist and emergency medical services for the region.
  • B. Orpington Hospital
    Orpington Hospital is a local NHS healthcare facility in Orpington, London, providing a range of outpatient, rehabilitation, and community health services.
  • C. Maidstone Hospital
    Maidstone Hospital is a major National Health Service (NHS) district general hospital serving Maidstone and the surrounding areas in Kent, England.
  • D. Scone Hospital
    Scone Hospital is a regional healthcare facility serving the medical needs of the community in and around Scone, New South Wales, Australia.
  • E. Weybridge Hospital
    Weybridge Hospital is a local healthcare facility serving the community of Weybridge in Surrey, England.
  • F. None of above. chosen

Provenance (5 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647f13a4819095c4ce8c42c5d1fb completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5ed89dbc88190abda05d9d06fb7b5 completed March 27, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee08cc488190baaafc1e679f83aa completed March 27, 2026, 2:40 a.m.
Created at: March 22, 2026, 4:28 p.m.