Triple
T27175434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Retirement Systems |
E683030
|
entity |
| Predicate | planIncludes |
P1393
|
FINISHED |
| Object |
Teachers' and State Employees' Retirement System of North Carolina
The Teachers' and State Employees' Retirement System of North Carolina is a public pension fund providing defined-benefit retirement, disability, and survivor benefits to eligible teachers and state government employees in North Carolina.
|
E683030
|
NE FINISHED |
How this triple was built (3 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: Teachers' and State Employees' Retirement System of North Carolina | Statement: [North Carolina Retirement Systems, planIncludes, Teachers' and State Employees' Retirement System of North Carolina]
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: Teachers' and State Employees' Retirement System of North Carolina Triple: [North Carolina Retirement Systems, planIncludes, Teachers' and State Employees' Retirement System of North Carolina]
Generated description
The Teachers' and State Employees' Retirement System of North Carolina is a public pension fund providing defined-benefit retirement, disability, and survivor benefits to eligible teachers and state government employees in North Carolina.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planIncludes Context triple: [North Carolina Retirement Systems, planIncludes, Teachers' and State Employees' Retirement System of North Carolina]
-
A.
promotionIncludes
Indicates that a particular promotion encompasses, covers, or applies to a specified item, service, or condition.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
planNumber
Indicates that an entity is associated with a specific plan identifier or code used to distinguish it from other plans.
-
D.
productIncludes
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
E.
orderIncludes
Indicates that a particular order contains or comprises the specified item(s) or component(s).
- F. None of above.
Provenance (6 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62579073c8190af7e10be70f2379d |
completed | May 2, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12538af05481908b8108b8b171beb5 |
completed | May 24, 2026, 1:25 a.m. |
| NEDg | Description generation | batch_6a12546f814881908c806a1805b7473d |
completed | May 24, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12552b0cc88190be6bc59664de20c9 |
completed | May 24, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:25 a.m.