Triple
T18417866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Silver Eagle |
E441942
|
entity |
| Predicate | legalTenderFaceValue |
P123107
|
FINISHED |
| Object | 1 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: 1 USD | Statement: [American Silver Eagle, legalTenderFaceValue, 1 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalTenderFaceValue Context triple: [American Silver Eagle, legalTenderFaceValue, 1 USD]
-
A.
banknoteDenomination
Indicates the specific face value assigned to a banknote in a given currency.
-
B.
denominationDepicted
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
-
C.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
D.
currencyDenomination
chosen
Indicates the specific unit or face value of a currency in which an amount of money is expressed.
-
E.
denominationName
Indicates the specific religious or organizational denomination to which an entity belongs or is associated.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a291f148190b289b5b617077797 |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.