Triple
T7461213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRNs |
E176252
|
entity |
| Predicate | interestRateBenchmark |
P77231
|
FINISHED |
| Object | short-term interest 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: short-term interest rate | Statement: [FRNs, interestRateBenchmark, short-term interest rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestRateBenchmark Context triple: [FRNs, interestRateBenchmark, short-term interest rate]
-
A.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
B.
peakFederalFundsRate
Indicates the highest level reached by the federal funds interest rate over a specified period or cycle.
-
C.
basisDefinition
Indicates that one entity serves as the foundational explanation, principle, or justification upon which another entity is defined or established.
-
D.
isBroadMarketBenchmark
Indicates that something serves as a broad market benchmark, representing the overall performance of a wide, diversified segment of a market rather than a narrow or specialized subset.
-
E.
referenceForExchangeRates
Indicates that something serves as the authoritative source or benchmark used to determine or look up exchange rates between currencies.
- 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.