Triple

T27175435
Position Surface form Disambiguated ID Type / Status
Subject North Carolina Retirement Systems E683030 entity
Predicate planIncludes P1393 FINISHED
Object Local Governmental Employees' Retirement System of North Carolina
The Local Governmental Employees' Retirement System of North Carolina is a public pension plan providing retirement benefits to eligible local government employees across the state.
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: Local Governmental Employees' Retirement System of North Carolina | Statement: [North Carolina Retirement Systems, planIncludes, Local Governmental 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: Local Governmental Employees' Retirement System of North Carolina
Triple: [North Carolina Retirement Systems, planIncludes, Local Governmental Employees' Retirement System of North Carolina]
Generated description
The Local Governmental Employees' Retirement System of North Carolina is a public pension plan providing retirement benefits to eligible local government employees across the state.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: planIncludes
Context triple: [North Carolina Retirement Systems, planIncludes, Local Governmental 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_6a1262648bb881908af64157017170cb completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12686ad9cc8190a4c36c60d8d99104 completed May 24, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a126901467481909e689c279e3516c1 completed May 24, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 9:25 a.m.