Triple
T27030205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Thursday |
E680896
|
entity |
| Predicate | currencyOfQuotations |
P182823
|
FINISHED |
| Object | U.S. dollar |
—
|
NE NERFINISHED |
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: U.S. dollar | Statement: [Silver Thursday, currencyOfQuotations, U.S. dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfQuotations Context triple: [Silver Thursday, currencyOfQuotations, U.S. dollar]
-
A.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
B.
currencyOnboard
Indicates that a particular currency has been enabled, registered, or made available for use within a given system or context.
-
C.
currencyProduced
Indicates that an entity is responsible for creating, issuing, or generating a particular form of currency.
-
D.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
E.
currencyServiceType
Indicates the type or category of service associated with a particular currency.
- F. None of above. chosen
Provenance (4 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 27, 2026, 7:13 a.m.