Triple
T7054308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss 1-franc coin |
E164046
|
entity |
| Predicate | obverseText |
P23868
|
FINISHED |
| Object | HELVETIA |
E31683
|
NE 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: HELVETIA | Statement: [Swiss 1-franc coin, obverseText, HELVETIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HELVETIA Context triple: [Swiss 1-franc coin, obverseText, HELVETIA]
-
A.
Helvetia
chosen
Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
-
B.
Delamotte
Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
-
C.
Bega
Bega is a river in Central and Southeastern Europe that flows through Romania and Serbia, including the city of Zrenjanin.
-
D.
Bega
Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
-
E.
Hersey
Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e265ea348190a9bd3807c0d605d8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788980b50819085473407a176e04b |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:38 p.m.