Triple
T698791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleonic Italian lira |
E13951
|
entity |
| Predicate | goldContentStandard |
P14349
|
FINISHED |
| Object | similar to contemporary French franc |
—
|
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: similar to contemporary French franc | Statement: [Napoleonic Italian lira, goldContentStandard, similar to contemporary French franc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldContentStandard Context triple: [Napoleonic Italian lira, goldContentStandard, similar to contemporary French franc]
-
A.
standardGoldContent
chosen
Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
-
B.
previousGoldPurity
Indicates that one entity represents the gold purity value that applied to another entity at an earlier time or in a prior state.
-
C.
authorizedCoinMetal
Indicates that a particular metal is officially approved for use in minting a given coin.
-
D.
goldObjectsCount
Indicates the number of objects in the relationship that are made of or classified as gold.
-
E.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.