Triple
T7461166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floating Rate Note |
E176251
|
entity |
| Predicate | interestRateLinkedTo |
P77227
|
FINISHED |
| Object | reference 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: reference rate | Statement: [Floating Rate Note, interestRateLinkedTo, reference rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestRateLinkedTo Context triple: [Floating Rate Note, interestRateLinkedTo, reference rate]
-
A.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
B.
effectOnLoans
Indicates the impact or influence that one factor has on the terms, availability, or behavior of loans.
-
C.
linkedByCurrencyArrangementWith
Indicates that two entities are connected through a formal currency-related arrangement, such as a peg, union, swap line, or other structured monetary linkage.
-
D.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
-
E.
riseLinkedTo
Indicates that an increase or upward change in one entity is associated with, influenced by, or correlated to another specified factor or entity.
- F. None of above. chosen
Provenance (4 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f386daac81908ded91b397b44148 |
completed | March 27, 2026, 9:15 p.m. |
Created at: March 27, 2026, 3:38 p.m.