Triple

T9729011
Position Surface form Disambiguated ID Type / Status
Subject Garfield Heights E235689 entity
Predicate hasFacility P105 FINISHED
Object Marymount Hospital
Marymount Hospital is a community healthcare facility serving residents of Garfield Heights, Ohio and the surrounding area.
 E817474 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: Marymount Hospital | Statement: [Garfield Heights, hasFacility, Marymount Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marymount Hospital
Context triple: [Garfield Heights, hasFacility, Marymount Hospital]
  • A. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • B. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • 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. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • E. Anna Jaques Hospital
    Anna Jaques Hospital is a community hospital in Massachusetts providing a range of medical and surgical services to residents of the North Shore region.
  • 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: Marymount Hospital
Triple: [Garfield Heights, hasFacility, Marymount Hospital]
Generated description
Marymount Hospital is a community healthcare facility serving residents of Garfield Heights, Ohio and the surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marymount Hospital
Target entity description: Marymount Hospital is a community healthcare facility serving residents of Garfield Heights, Ohio and the surrounding area.
  • A. Saint Mary’s Hospital
    Saint Mary’s Hospital is a major acute-care medical center serving the community of Waterbury, Connecticut.
  • B. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • 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. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • E. Anna Jaques Hospital
    Anna Jaques Hospital is a community hospital in Massachusetts providing a range of medical and surgical services to residents of the North Shore region.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eafa3a88190bc62924d94b89cd8 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb5f5bc8190ae53bc5c165b5ac7 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a482c0bc81908c3c7ae7c2f19473 completed April 4, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_69d1a83336308190acb209223da11766 completed April 5, 2026, 12:09 a.m.
Created at: March 30, 2026, 8:21 p.m.