Triple
T4085073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYC Health + Hospitals facilities |
E87569
|
entity |
| Predicate | composedOf |
P402
|
FINISHED |
| Object |
NYC Health + Hospitals/North Central Bronx
NYC Health + Hospitals/North Central Bronx is a public community hospital in the Bronx, New York City, providing a range of inpatient and outpatient medical services as part of the NYC Health + Hospitals system.
|
E434832
|
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/North Central Bronx | Statement: [NYC Health + Hospitals facilities, composedOf, NYC Health + Hospitals/North Central Bronx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYC Health + Hospitals/North Central Bronx Context triple: [NYC Health + Hospitals facilities, composedOf, NYC Health + Hospitals/North Central Bronx]
-
A.
NYC Health + Hospitals/Lincoln
NYC Health + Hospitals/Lincoln is a major public hospital in the Bronx, New York City, providing comprehensive medical and emergency services as part of the NYC Health + Hospitals system.
-
B.
NYC Health + Hospitals/Elmhurst
NYC Health + Hospitals/Elmhurst is a major public hospital in Queens, New York City, known for providing comprehensive medical and emergency services to a diverse, largely immigrant community.
-
C.
NYC Health + Hospitals/Jacobi
NYC Health + Hospitals/Jacobi is a major public teaching hospital in the Bronx, New York City, known for providing comprehensive acute, specialty, and emergency medical services.
-
D.
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.
-
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/North Central Bronx Triple: [NYC Health + Hospitals facilities, composedOf, NYC Health + Hospitals/North Central Bronx]
Generated description
NYC Health + Hospitals/North Central Bronx is a public community hospital in the Bronx, New York City, providing a range of inpatient and outpatient 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/North Central Bronx Target entity description: NYC Health + Hospitals/North Central Bronx is a public community hospital in the Bronx, New York City, providing a range of inpatient and outpatient medical services as part of the NYC Health + Hospitals system.
-
A.
NYC Health + Hospitals/Lincoln
NYC Health + Hospitals/Lincoln is a major public hospital in the Bronx, New York City, providing comprehensive medical and emergency services as part of the NYC Health + Hospitals system.
-
B.
NYC Health + Hospitals/Elmhurst
NYC Health + Hospitals/Elmhurst is a major public hospital in Queens, New York City, known for providing comprehensive medical and emergency services to a diverse, largely immigrant community.
-
C.
NYC Health + Hospitals/Jacobi
NYC Health + Hospitals/Jacobi is a major public teaching hospital in the Bronx, New York City, known for providing comprehensive acute, specialty, and emergency medical services.
-
D.
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.
-
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
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_69b5e4d20dd0819080773876f6198250 |
completed | March 14, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69b5e58d77d88190b59e372eeec35195 |
completed | March 14, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e5fa68c08190a482cb7ea9030515 |
completed | March 14, 2026, 10:49 p.m. |
Created at: March 9, 2026, 3:39 p.m.