Triple
T27175437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Retirement Systems |
E683030
|
entity |
| Predicate | planIncludes |
P1393
|
FINISHED |
| Object | Legislative Retirement System of North Carolina |
—
|
NE NERFINISHED |
How this triple was built (2 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: Legislative Retirement System of North Carolina | Statement: [North Carolina Retirement Systems, planIncludes, Legislative Retirement System of North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planIncludes Context triple: [North Carolina Retirement Systems, planIncludes, Legislative 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 (3 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_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 9:25 a.m.