Triple
T17497520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Mint American Women Quarters Program |
E426102
|
entity |
| Predicate | coinsPerYear |
P25403
|
FINISHED |
| Object | 5 |
—
|
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 | Statement: [U.S. Mint American Women Quarters Program, coinsPerYear, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinsPerYear Context triple: [U.S. Mint American Women Quarters Program, coinsPerYear, 5]
-
A.
coinsProduced
chosen
Indicates that a particular entity (such as a mint or authority) has produced or issued a specified set or quantity of coins.
-
B.
blocksPerYear
Indicates the number of blocks produced or expected to be produced within a one-year period.
-
C.
yearsOfMinting
Indicates the span of years during which an item (such as a coin or stamp) was actively produced or issued.
-
D.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
E.
coinsCollectedFor
Indicates that a certain number of coins has been gathered or accumulated in order to benefit or be used for a particular entity or purpose.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520f6790819092c36e0e4ecc4cd3 |
completed | April 19, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.