Triple
T25026655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakarta Automated Trading System |
E626727
|
entity |
| Predicate | marketTypeSupported |
P114889
|
FINISHED |
| Object | fixed income 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: fixed income market | Statement: [Jakarta Automated Trading System, marketTypeSupported, fixed income market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketTypeSupported Context triple: [Jakarta Automated Trading System, marketTypeSupported, fixed income market]
-
A.
supportsMarket
Indicates that one entity provides resources, infrastructure, or conditions that enable or facilitate the functioning or growth of a market associated with another entity.
-
B.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
C.
supportsTradingType
chosen
Indicates that one entity enables, allows, or is compatible with a specified type or mode of trading.
-
D.
orderTypesSupported
Indicates that a system or entity supports specific types or categories of orders that can be placed or processed.
-
E.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:07 a.m.