Triple

T4665204
Position Surface form Disambiguated ID Type / Status
Subject Wingham E102828 entity
Predicate hasFacility P105 FINISHED
Object Wingham Hospital
Wingham Hospital is a local healthcare facility serving the medical needs of the Wingham community and surrounding area.
 E462277 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: Wingham Hospital | Statement: [Wingham, hasFacility, Wingham Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wingham Hospital
Context triple: [Wingham, hasFacility, Wingham Hospital]
  • A. Orpington Hospital
    Orpington Hospital is a local NHS healthcare facility in Orpington, London, providing a range of outpatient, rehabilitation, and community health services.
  • B. Tweed Hospital
    Tweed Hospital is a public healthcare facility serving the medical and emergency needs of the Tweed Heads region in New South Wales, Australia.
  • C. Oberon Hospital
    Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
  • D. William Harvey Hospital
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • 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: Wingham Hospital
Triple: [Wingham, hasFacility, Wingham Hospital]
Generated description
Wingham Hospital is a local healthcare facility serving the medical needs of the Wingham community and surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wingham Hospital
Target entity description: Wingham Hospital is a local healthcare facility serving the medical needs of the Wingham community and surrounding area.
  • A. Orpington Hospital
    Orpington Hospital is a local NHS healthcare facility in Orpington, London, providing a range of outpatient, rehabilitation, and community health services.
  • B. Tweed Hospital
    Tweed Hospital is a public healthcare facility serving the medical and emergency needs of the Tweed Heads region in New South Wales, Australia.
  • C. Oberon Hospital
    Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
  • D. William Harvey Hospital
    William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633c3ea08190b8a66afbba1dcb1c completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0384a1488190a59dc08766f526dd completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be05269de48190849a76b5fbd24b4a completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05d277248190bf675151eca07247 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.