Triple
T11712328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Employees’ Retirement System |
E278401
|
entity |
| Predicate | basicAnnuityBasedOn |
P6447
|
FINISHED |
| Object | years of creditable service |
—
|
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: years of creditable service | Statement: [Federal Employees’ Retirement System, basicAnnuityBasedOn, years of creditable service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basicAnnuityBasedOn Context triple: [Federal Employees’ Retirement System, basicAnnuityBasedOn, years of creditable service]
-
A.
calculationBasis
chosen
Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
-
B.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
-
C.
basisDefinition
Indicates that one entity serves as the foundational explanation, principle, or justification upon which another entity is defined or established.
-
D.
annualFrom
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
-
E.
baseRate
Indicates the fundamental or standard rate at which something occurs or is charged, serving as a baseline before adjustments or modifiers are applied.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.