Triple
T1267994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treasurer of the United States |
E15644
|
entity |
| Predicate | isSymbolizedBy |
P129
|
FINISHED |
| Object | signature on U.S. currency |
—
|
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: signature on U.S. currency | Statement: [Treasurer of the United States, isSymbolizedBy, signature on U.S. currency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSymbolizedBy Context triple: [Treasurer of the United States, isSymbolizedBy, signature on U.S. currency]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
C.
symbolDescription
Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
-
D.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
E.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c0396e048190b4e2d7aab19268b3 |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.