Triple
T12006278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Filter Tour |
E285784
|
entity |
| Predicate | currencyOfGrossRevenue |
P11731
|
FINISHED |
| Object | USD |
—
|
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: USD | Statement: [No Filter Tour, currencyOfGrossRevenue, USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfGrossRevenue Context triple: [No Filter Tour, currencyOfGrossRevenue, USD]
-
A.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
B.
currencyType
chosen
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
C.
monetaryUnitOfAccount
Indicates that something serves as the standard unit in which the value of goods, services, and financial transactions is measured and recorded.
-
D.
primaryListingCurrency
Indicates the currency in which an asset, security, or item is primarily listed or denominated for trading or reference.
-
E.
currencyCodeDenoted
Indicates that a specific currency code is used to denote or represent a particular currency.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.