Triple
T595684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CME grain and oilseed futures |
E17376
|
entity |
| Predicate | underlyingAssetClass |
P15055
|
FINISHED |
| Object | agricultural commodities |
—
|
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: agricultural commodities | Statement: [CME grain and oilseed futures, underlyingAssetClass, agricultural commodities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingAssetClass Context triple: [CME grain and oilseed futures, underlyingAssetClass, agricultural commodities]
-
A.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
B.
tradeInstrument
Indicates a relationship where one entity is used as a financial or commercial instrument in a trade or transaction involving another entity.
-
C.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
-
D.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
E.
primaryAsset
Indicates that one entity is the main or most important asset associated 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd280ac8190b6a530ce73da85c8 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494ceeb7881909a91ed1a35d5bf0a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.