Triple
T4668705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Treaty of Paris |
E102908
|
entity |
| Predicate | indemnityCurrency |
P40035
|
FINISHED |
| Object | gold francs |
—
|
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: gold francs | Statement: [Second Treaty of Paris, indemnityCurrency, gold francs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indemnityCurrency Context triple: [Second Treaty of Paris, indemnityCurrency, gold francs]
-
A.
currencyOfDamageCost
chosen
Indicates the monetary currency in which a specified damage cost amount is expressed.
-
B.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
C.
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).
-
D.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
E.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.