Triple
T26554083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CalSTRS Cash Balance Benefit Program |
E671755
|
entity |
| Predicate | benefitGuarantee |
P77116
|
FINISHED |
| Object | minimum interest credit rate |
—
|
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: minimum interest credit rate | Statement: [CalSTRS Cash Balance Benefit Program, benefitGuarantee, minimum interest credit rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitGuarantee Context triple: [CalSTRS Cash Balance Benefit Program, benefitGuarantee, minimum interest credit rate]
-
A.
benefitProtection
Indicates that one entity provides protective advantages or safeguards that benefit another entity.
-
B.
guaranteeCoverage
Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
-
C.
typeOfGuarantees
chosen
Indicates the specific kind or category of guarantees that one entity provides, holds, or is associated with in relation to another.
-
D.
benefitAppliesTo
Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
-
E.
benefitStructure
Indicates a relationship where one entity defines, organizes, or governs the benefits (such as advantages, compensations, or perks) provided to or associated with another entity.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:49 a.m.