Triple

T4085067
Position Surface form Disambiguated ID Type / Status
Subject NYC Health + Hospitals facilities E87569 entity
Predicate composedOf P402 FINISHED
Object NYC Health + Hospitals/Kings County
NYC Health + Hospitals/Kings County is a major public hospital in Brooklyn, New York, providing a wide range of acute, outpatient, and specialty medical services as part of the NYC Health + Hospitals system.
E87569 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: NYC Health + Hospitals/Kings County | Statement: [NYC Health + Hospitals facilities, composedOf, NYC Health + Hospitals/Kings County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYC Health + Hospitals/Kings County
Context triple: [NYC Health + Hospitals facilities, composedOf, NYC Health + Hospitals/Kings County]
  • A. Staten Island University Hospital
    Staten Island University Hospital is a major teaching and acute care medical center serving the residents of Staten Island and the surrounding New York City area.
  • B. NYC Health + Hospitals/Coney Island
    NYC Health + Hospitals/Coney Island is a public acute-care hospital in Brooklyn, New York, that provides a wide range of medical and emergency services as part of the NYC Health + Hospitals system.
  • C. NYC Health + Hospitals facilities
    NYC Health + Hospitals facilities are public healthcare centers and hospitals operated by New York City’s municipal health system, providing medical services to residents across the five boroughs.
  • D. Bellevue Hospital Center
    Bellevue Hospital Center is a major public hospital in New York City, renowned as one of the oldest continuously operating hospitals in the United States and a key part of the NYC Health + Hospitals system.
  • E. Montefiore Hospital, New York
    Montefiore Hospital in New York is a major academic medical center and teaching hospital known for its advanced clinical care and affiliation with the Albert Einstein College of Medicine.
  • 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: NYC Health + Hospitals/Kings County
Triple: [NYC Health + Hospitals facilities, composedOf, NYC Health + Hospitals/Kings County]
Generated description
NYC Health + Hospitals/Kings County is a major public hospital in Brooklyn, New York, providing a wide range of acute, outpatient, and specialty medical services as part of the NYC Health + Hospitals system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NYC Health + Hospitals/Kings County
Target entity description: NYC Health + Hospitals/Kings County is a major public hospital in Brooklyn, New York, providing a wide range of acute, outpatient, and specialty medical services as part of the NYC Health + Hospitals system.
  • A. Staten Island University Hospital
    Staten Island University Hospital is a major teaching and acute care medical center serving the residents of Staten Island and the surrounding New York City area.
  • B. NYC Health + Hospitals/Coney Island
    NYC Health + Hospitals/Coney Island is a public acute-care hospital in Brooklyn, New York, that provides a wide range of medical and emergency services as part of the NYC Health + Hospitals system.
  • C. NYC Health + Hospitals facilities chosen
    NYC Health + Hospitals facilities are public healthcare centers and hospitals operated by New York City’s municipal health system, providing medical services to residents across the five boroughs.
  • D. Bellevue Hospital Center
    Bellevue Hospital Center is a major public hospital in New York City, renowned as one of the oldest continuously operating hospitals in the United States and a key part of the NYC Health + Hospitals system.
  • E. Montefiore Hospital, New York
    Montefiore Hospital in New York is a major academic medical center and teaching hospital known for its advanced clinical care and affiliation with the Albert Einstein College of Medicine.
  • F. None of above.

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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7b7cc4819089cfbf2b1c23ccc5 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5960443c48190901c674d2e947cef completed March 14, 2026, 5:08 p.m.
NEDg Description generation batch_69b59731052881908d9358dc629a4018 completed March 14, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_69b597c529a08190bbf2af92bfef1aa2 completed March 14, 2026, 5:15 p.m.
Created at: March 9, 2026, 3:39 p.m.