Triple
T478713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago Stock Exchange |
E9117
|
entity |
| Predicate | hasTradingSystemType |
P12491
|
FINISHED |
| Object | electronic trading system |
—
|
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 system | Statement: [Santiago Stock Exchange, hasTradingSystemType, electronic trading system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradingSystemType Context triple: [Santiago Stock Exchange, hasTradingSystemType, electronic trading system]
-
A.
hasTradingModel
Indicates that one entity uses, is governed by, or is associated with a particular trading model.
-
B.
hasElectronicTradingSystem
chosen
Indicates that an entity operates or utilizes an electronic system for executing trades or transactions.
-
C.
hasTradingFloor
Indicates that an entity operates or contains a physical or virtual trading floor where financial instruments are actively bought and sold.
-
D.
hasTickerType
Indicates that an entity is associated with a specific type or category of ticker (e.g., stock, index, or other financial instrument ticker).
-
E.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf017548190ae38ff3314a1ffa3 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.