Triple
T2617883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confederate States dollar |
E58932
|
entity |
| Predicate | counterfeiting |
P38316
|
FINISHED |
| Object | widely counterfeited |
—
|
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: widely counterfeited | Statement: [Confederate States dollar, counterfeiting, widely counterfeited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterfeiting Context triple: [Confederate States dollar, counterfeiting, widely counterfeited]
-
A.
isSubjectToCounterfeiting
chosen
Indicates that something is vulnerable to being illegally imitated, forged, or reproduced in order to deceive.
-
B.
notLegalTenderIn
Indicates that a form of money is not officially recognized as acceptable payment within a specified jurisdiction or region.
-
C.
demonetized
Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual way.
-
D.
hasCounterpart
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
E.
ransom
Indicates demanding payment or concessions in exchange for releasing a person, object, or information held under threat or coercion.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.