Triple

T10226574
Position Surface form Disambiguated ID Type / Status
Subject Goodmayes E243218 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Goodmayes Hospital
Goodmayes Hospital is a mental health and community services hospital in the London Borough of Redbridge, England.
 E852864 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: Goodmayes Hospital | Statement: [Goodmayes, hasNeighbourhood, Goodmayes Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goodmayes Hospital
Context triple: [Goodmayes, hasNeighbourhood, Goodmayes Hospital]
  • A. William Newton Hospital
    William Newton Hospital is a community healthcare facility serving the medical needs of residents in and around Winfield, Kansas.
  • B. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • C. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • 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. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • 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: Goodmayes Hospital
Triple: [Goodmayes, hasNeighbourhood, Goodmayes Hospital]
Generated description
Goodmayes Hospital is a mental health and community services hospital in the London Borough of Redbridge, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goodmayes Hospital
Target entity description: Goodmayes Hospital is a mental health and community services hospital in the London Borough of Redbridge, England.
  • A. William Newton Hospital
    William Newton Hospital is a community healthcare facility serving the medical needs of residents in and around Winfield, Kansas.
  • B. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • C. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • 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. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fa98a48190a5caf6b6003bc14c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f71fb4048190a36f1fe499729332 completed April 9, 2026, 12:47 a.m.
NEDg Description generation batch_69d6fcaa16788190a4c7ef79a78febc6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd6d705c81908e469068937a79b3 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:17 a.m.