Triple
T17381927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying Club miles |
E422588
|
entity |
| Predicate | earnRateDependsOn |
P101951
|
FINISHED |
| Object | fare class |
—
|
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: fare class | Statement: [Flying Club miles, earnRateDependsOn, fare class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earnRateDependsOn Context triple: [Flying Club miles, earnRateDependsOn, fare class]
-
A.
interestRateLinkedTo
Indicates that the interest rate of one financial instrument or agreement is determined by, or varies in accordance with, the value or changes of another specified reference rate or index.
-
B.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
-
C.
amountDependsOn
chosen
Indicates that the quantity or magnitude of one entity is determined by, or varies as a function of, another entity.
-
D.
creditPercentage
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
-
E.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.