Triple

T9673993
Position Surface form Disambiguated ID Type / Status
Subject HIA Percy E234100 entity
Predicate shortName P43 FINISHED
Object Percy Hospital
Percy Hospital is a major French military medical facility known for providing advanced care to armed forces personnel and civilians.
 E814002 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: Percy Hospital | Statement: [HIA Percy, shortName, Percy Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Percy Hospital
Context triple: [HIA Percy, shortName, Percy Hospital]
  • A. Oberon Hospital
    Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
  • B. Daisy Hill Hospital
    Daisy Hill Hospital is a major acute care facility in Newry, Northern Ireland, providing a range of hospital services to the surrounding region.
  • C. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • D. Victoria Hospital
    Victoria Hospital is a major acute-care teaching hospital in London, Ontario, Canada, providing a wide range of specialized medical and surgical services.
  • E. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • 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: Percy Hospital
Triple: [HIA Percy, shortName, Percy Hospital]
Generated description
Percy Hospital is a major French military medical facility known for providing advanced care to armed forces personnel and civilians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Percy Hospital
Target entity description: Percy Hospital is a major French military medical facility known for providing advanced care to armed forces personnel and civilians.
  • A. Oberon Hospital
    Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
  • B. Daisy Hill Hospital
    Daisy Hill Hospital is a major acute care facility in Newry, Northern Ireland, providing a range of hospital services to the surrounding region.
  • C. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • D. Victoria Hospital
    Victoria Hospital is a major acute-care teaching hospital in London, Ontario, Canada, providing a wide range of specialized medical and surgical services.
  • E. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6c05c481909885bfdb850e7527 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a2d030c8190ada52e855bc9afc8 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18bf051448190aaa3a7198c23fd39 completed April 4, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69d18c8783f08190858681b51096fe56 completed April 4, 2026, 10:11 p.m.
Created at: March 30, 2026, 8:15 p.m.