3-month U.S. dollar LIBOR

E74439

3-month U.S. dollar LIBOR is a benchmark interest rate indicating the average rate at which major global banks are willing to lend U.S. dollars to one another for a three-month term in the London interbank market.

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All labels observed (3)

Label Occurrences
3-month U.S. dollar LIBOR canonical 1
U.S. dollar LIBOR 1
USD LIBOR 1

Statements (47)

Predicate Object
instanceOf interbank offered rate
interest rate benchmark
reference rate
administeredBy ICE
surface form: ICE Benchmark Administration
associatedWith panel banks
basedOn London interbank market
unsecured interbank lending
calculationMethod trimmed average of submitted rates
currency US dollar
surface form: USD
denominatedIn US dollar
surface form: United States dollar
describes average rate at which major global banks are willing to lend U.S. dollars to one another for three months
geographicContext London, England
surface form: London
linkedTo LIBOR transition
marketSegment money market
maturityType short-term
partOf LIBOR
phaseOutDrivenBy benchmark reform
manipulation scandals
previouslyAdministeredBy British Bankers' Association
quotedAs annualized interest rate
quotedOn business days
regulatorJurisdiction United Kingdom
regulatoryBody Financial Conduct Authority
surface form: UK Financial Conduct Authority
riskProfile unsecured credit risk
role key global funding benchmark for U.S. dollars
submissionBasis banks’ estimates of borrowing costs
successorBenchmark CME Term SOFR
SOFR
tenor 3 months
timeHorizon three-month interbank loans
underlyingTransactionType unsecured wholesale funding
usedAs benchmark for short-term U.S. dollar funding costs
proxy for bank funding conditions
reference for resetting coupon payments
usedBy asset managers
banks
corporations
governments
usedIn corporate loans
derivatives pricing
floating-rate loans
floating-rate notes
interest rate caps
interest rate floors
interest rate swaps
mortgage contracts
syndicated loans

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: 3-month U.S. dollar LIBOR
Description of subject: 3-month U.S. dollar LIBOR is a benchmark interest rate indicating the average rate at which major global banks are willing to lend U.S. dollars to one another for a three-month term in the London interbank market.

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Eurodollar futures underlyingReference 3-month U.S. dollar LIBOR
Eurodollar time deposits linkedBenchmarkHistorically 3-month U.S. dollar LIBOR
this entity surface form: U.S. dollar LIBOR
SOFR primaryReplacementFor 3-month U.S. dollar LIBOR
this entity surface form: USD LIBOR