Triple
T10753340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borsa Istanbul |
E253625
|
entity |
| Predicate | usesTradingSystem |
P95799
|
FINISHED |
| Object | electronic order-driven market |
—
|
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 order-driven market | Statement: [Borsa Istanbul, usesTradingSystem, electronic order-driven market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTradingSystem Context triple: [Borsa Istanbul, usesTradingSystem, electronic order-driven market]
-
A.
usedForTrading
Indicates that one entity serves as a medium, instrument, or item exchanged in commercial or barter transactions involving another entity.
-
B.
actualTrading
Indicates the occurrence of real, executed trading activity between parties, as opposed to planned, simulated, or potential trades.
-
C.
usesBusinessSystem
Indicates that one entity makes use of a particular business system to perform its operations, processes, or functions.
-
D.
tradingApproach
Indicates the method or strategy an entity uses to conduct trading activities or make trade-related decisions.
-
E.
usesSettlementSystem
Indicates that one entity conducts its financial or transactional operations through a specified settlement system.
- F. None of above. chosen
Provenance (4 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc2543c8190bb060aa7a1fed6a6 |
completed | April 9, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:15 p.m.