Triple
T25237150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cboe FX Markets |
E632368
|
entity |
| Predicate | hasTradingInstruments |
P2822
|
FINISHED |
| Object | major currency pairs |
—
|
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: major currency pairs | Statement: [Cboe FX Markets, hasTradingInstruments, major currency pairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradingInstruments Context triple: [Cboe FX Markets, hasTradingInstruments, major currency pairs]
-
A.
tradesInstrument
chosen
Indicates that one party engages in buying, selling, or exchanging a specified financial or tradable instrument.
-
B.
tradeInstrument
Indicates a relationship where one entity is used as a financial or commercial instrument in a trade or transaction involving another entity.
-
C.
hasTradingVenueType
Indicates the specific category or type of trading venue associated with a given trading platform or marketplace.
-
D.
hasFinancialInstrumentType
Indicates that an entity is associated with, or classified by, a specific type or category of financial instrument.
-
E.
hasLendingInstrument
Indicates that an entity possesses or utilizes a specific financial instrument used for lending.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 1:07 p.m.