Triple
T22636808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland State Retirement and Pension System |
E558701
|
entity |
| Predicate | typeOfPlanOffered |
P8653
|
FINISHED |
| Object | contributory pension plans |
—
|
LITERAL FINISHED |
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: contributory pension plans | Statement: [Maryland State Retirement and Pension System, typeOfPlanOffered, contributory pension plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPlanOffered Context triple: [Maryland State Retirement and Pension System, typeOfPlanOffered, contributory pension plans]
-
A.
offersPlanType
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
B.
planType
chosen
Indicates the specific category or kind of plan associated with an entity, such as its level, structure, or intended use.
-
C.
offeringType
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
D.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
E.
hasTypicalPlan
Indicates that there is a standard or commonly followed plan, procedure, or course of action typically associated with the given entity or situation.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700e11688190b33e280a653db141 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:03 p.m.