Triple
T12985659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America the Beautiful Quarters |
E321759
|
entity |
| Predicate | bullionVersionWeight |
P107905
|
FINISHED |
| Object | 5 troy ounces |
—
|
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: 5 troy ounces | Statement: [America the Beautiful Quarters, bullionVersionWeight, 5 troy ounces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bullionVersionWeight Context triple: [America the Beautiful Quarters, bullionVersionWeight, 5 troy ounces]
-
A.
silverWeight
Indicates the weight or mass of an entity measured specifically in silver.
-
B.
goldPlatingWeight
Indicates the weight associated with a layer or amount of gold plating applied to an object or surface.
-
C.
standardGoldContent
Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
-
D.
previousGoldPurity
Indicates that one entity represents the gold purity value that applied to another entity at an earlier time or in a prior state.
-
E.
caratWeight
Indicates the weight of a gemstone or diamond, measured in carats, associated with an item or entity.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:40 p.m.