Triple
T35917927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flowing Hair dollar |
E1038796
|
entity |
| Predicate | mintage1794 |
P25403
|
FINISHED |
| Object | approximately 1,758 pieces |
—
|
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: approximately 1,758 pieces | Statement: [Flowing Hair dollar, mintage1794, approximately 1,758 pieces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mintage1794 Context triple: [Flowing Hair dollar, mintage1794, approximately 1,758 pieces]
-
A.
mintageType
Indicates the specific method or category of production used when minting a coin or similar numismatic item.
-
B.
mintagePlainVariety
Indicates that two coin issues share the same basic mintage but differ only in minor, non-design features (a “plain” variety distinction).
-
C.
yearsOfMinting
Indicates the span of years during which an item (such as a coin or stamp) was actively produced or issued.
-
D.
denominationDepicted
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
-
E.
coinsProduced
chosen
Indicates that a particular entity (such as a mint or authority) has produced or issued a specified set or quantity of coins.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa7a89081909b1d7b3118c3d4b1 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.