Triple
T11384403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Exchange |
E269678
|
entity |
| Predicate | offersMarketData |
P17659
|
FINISHED |
| Object | real-time prices |
—
|
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: real-time prices | Statement: [Osaka Exchange, offersMarketData, real-time prices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersMarketData Context triple: [Osaka Exchange, offersMarketData, real-time prices]
-
A.
offersMarket
Indicates that one entity provides or makes available a market (as a venue or opportunity for buying, selling, or trading) to another entity.
-
B.
hasMarketData
chosen
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
-
C.
offersMarketSegment
Indicates that a provider makes a specific market segment available as a target or recipient for its products, services, or offerings.
-
D.
marketStatus
Indicates the current trading or availability condition of an asset, product, or market (e.g., open, closed, active, suspended).
-
E.
offersInformationOn
Indicates that one entity provides or makes available information about another entity or topic.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.