Triple
T8071819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Employees’ Retirement System |
E188390
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
New York City Retirement Systems
New York City Retirement Systems is the overarching public pension system that administers and coordinates multiple retirement funds for New York City employees.
|
E709700
|
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: New York City Retirement Systems | Statement: [New York City Employees’ Retirement System, partOf, New York City Retirement Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York City Retirement Systems Context triple: [New York City Employees’ Retirement System, partOf, New York City Retirement Systems]
-
A.
New York City Employees’ Retirement System
The New York City Employees’ Retirement System is one of the largest public pension funds in the United States, providing retirement, disability, and death benefits to New York City’s municipal workforce.
-
B.
New York City Police Pension Fund
The New York City Police Pension Fund is a public retirement system that manages and administers pension benefits and investments for members of the New York City Police Department.
-
C.
New York City Fire Pension Fund
The New York City Fire Pension Fund is a public retirement system that manages and administers pension benefits and investments for New York City firefighters.
-
D.
Teachers’ Retirement System of the City of New York
The Teachers’ Retirement System of the City of New York is a public pension fund that provides retirement, disability, and related benefits to New York City public school educators and other eligible employees.
-
E.
New York State pension fund
The New York State pension fund is a large public retirement system that manages and invests assets to provide pension benefits for New York State and local government employees.
- 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: New York City Retirement Systems Triple: [New York City Employees’ Retirement System, partOf, New York City Retirement Systems]
Generated description
New York City Retirement Systems is the overarching public pension system that administers and coordinates multiple retirement funds for New York City employees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New York City Retirement Systems Target entity description: New York City Retirement Systems is the overarching public pension system that administers and coordinates multiple retirement funds for New York City employees.
-
A.
New York City Employees’ Retirement System
The New York City Employees’ Retirement System is one of the largest public pension funds in the United States, providing retirement, disability, and death benefits to New York City’s municipal workforce.
-
B.
New York City Police Pension Fund
The New York City Police Pension Fund is a public retirement system that manages and administers pension benefits and investments for members of the New York City Police Department.
-
C.
New York City Fire Pension Fund
The New York City Fire Pension Fund is a public retirement system that manages and administers pension benefits and investments for New York City firefighters.
-
D.
Teachers’ Retirement System of the City of New York
The Teachers’ Retirement System of the City of New York is a public pension fund that provides retirement, disability, and related benefits to New York City public school educators and other eligible employees.
-
E.
New York State pension fund
The New York State pension fund is a large public retirement system that manages and invests assets to provide pension benefits for New York State and local government employees.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4046a2148190a584e33bcf53cf22 |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e9225c8190bb196d9c325bb85e |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc664234c08190852b1449b5880ecc |
completed | April 1, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc674517b88190aa8fb73b0b8cf2ea |
completed | April 1, 2026, 12:31 a.m. |
Created at: March 30, 2026, 5:27 p.m.