Triple
T32183059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLNX |
E822034
|
entity |
| Predicate | associatedWithTradingVenue |
—
|
GENERATED |
| Object | electronic trading |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTradingVenue Context triple: [XLNX, associatedWithTradingVenue, electronic trading]
-
A.
hasTradingVenueType
Indicates the specific category or type of trading venue associated with a given trading platform or marketplace.
-
B.
hasTradingVenueCode
Indicates that an entity is associated with a specific trading venue through its designated code.
-
C.
isTradingVenueFor
Indicates that one entity functions as a marketplace or platform where another entity’s financial instruments or assets are bought and sold.
-
D.
identifiesTradingVenue
Indicates that one entity specifies or designates the trading venue associated with another entity or transaction.
-
E.
associatedWithExchange
chosen
Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
- F. None of above.
Provenance (1 batch)
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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:34 a.m.