Triple
T497612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coinage Act of 1849 |
E10328
|
entity |
| Predicate | faceValueOfDoubleEagle |
P2872
|
FINISHED |
| Object | 20 United States dollars |
—
|
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: 20 United States dollars | Statement: [Coinage Act of 1849, faceValueOfDoubleEagle, 20 United States dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faceValueOfDoubleEagle Context triple: [Coinage Act of 1849, faceValueOfDoubleEagle, 20 United States dollars]
-
A.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
B.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
C.
obverseDepiction
Indicates that one entity is depicted on the obverse (front) side of another, such as the front face of a coin or medal.
-
D.
coinDenomination
chosen
Indicates the specific monetary value assigned to a coin within a currency system.
-
E.
denominationSeries
Indicates a relationship where one denomination belongs to, or is classified within, a particular series of denominations.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.