Triple
T831928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CME FX futures |
E17983
|
entity |
| Predicate | supportsTradingSession |
P2824
|
FINISHED |
| Object | electronic trading |
—
|
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: electronic trading | Statement: [CME FX futures, supportsTradingSession, electronic trading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTradingSession Context triple: [CME FX futures, supportsTradingSession, electronic trading]
-
A.
hasTradingHours
Indicates that an entity operates or is available for trading during specified time periods.
-
B.
hasTradingFloor
Indicates that an entity operates or contains a physical or virtual trading floor where financial instruments are actively bought and sold.
-
C.
hasPreMarketSession
chosen
Indicates that a financial instrument or market has a designated trading session that occurs before the regular market hours.
-
D.
hasElectronicTradingSystem
Indicates that an entity operates or utilizes an electronic system for executing trades or transactions.
-
E.
hasTradingModel
Indicates that one entity uses, is governed by, or is associated with a particular trading model.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.