Triple
T795037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CME livestock futures |
E16999
|
entity |
| Predicate | hasUnderlyingAssetClass |
P15055
|
FINISHED |
| Object | livestock |
—
|
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: livestock | Statement: [CME livestock futures, hasUnderlyingAssetClass, livestock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingAssetClass Context triple: [CME livestock futures, hasUnderlyingAssetClass, livestock]
-
A.
underlyingAsset
Indicates that one asset serves as the fundamental reference or basis for the value, performance, or contractual terms of another financial instrument or derivative.
-
B.
underlyingInstrument
Indicates that one financial instrument serves as the reference or basis for the value, payoff, or structure of another financial instrument.
-
C.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
D.
hasShareClass
Indicates that an entity is associated with a specific class or category of shares that defines distinct rights or characteristics of ownership.
-
E.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b04cd8819092e2fd7ba4df8672 |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.