Triple
T37321908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Retirement System |
E926503
|
entity |
| Predicate | hasPlanOption |
P10988
|
FINISHED |
| Object | Pension Plan |
—
|
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: Pension Plan | Statement: [Florida Retirement System, hasPlanOption, Pension Plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlanOption Context triple: [Florida Retirement System, hasPlanOption, Pension Plan]
-
A.
hasPlan
chosen
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
B.
hasBasePlan
Indicates that an entity is associated with or derived from a specified foundational or default plan.
-
C.
hasPlanImposedBy
Indicates that an entity is subject to a plan that has been determined, mandated, or enforced by another entity.
-
D.
hasPaymentOption
Indicates that an entity supports or offers a particular method or option for making payments.
-
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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 3, 2026, 4:16 p.m.