Triple
T20170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coinage Act of 1792 |
E400
|
entity |
| Predicate | authorizedCoinDenomination |
P515
|
FINISHED |
| Object | half cent |
—
|
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: half cent | Statement: [Coinage Act of 1792, authorizedCoinDenomination, half cent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorizedCoinDenomination Context triple: [Coinage Act of 1792, authorizedCoinDenomination, half cent]
-
A.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
B.
coinDenominationsInclude
chosen
Indicates that a set of coin denominations contains a particular denomination as one of its members.
-
C.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
-
D.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
E.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a24703cb988190ad2bc181d27829e4 |
completed | Feb. 28, 2026, 1:38 a.m. |
| PD | Predicate disambiguation | batch_69a24650f1f0819081e638fafd18d687 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.