Triple
T26060410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Armistice with Finland |
E657241
|
entity |
| Predicate | warReparationsAmount |
P19678
|
FINISHED |
| Object | 300000000 US dollars (1938 value) |
—
|
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: 300000000 US dollars (1938 value) | Statement: [Moscow Armistice with Finland, warReparationsAmount, 300000000 US dollars (1938 value)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warReparationsAmount Context triple: [Moscow Armistice with Finland, warReparationsAmount, 300000000 US dollars (1938 value)]
-
A.
warIndemnityAmount
chosen
Indicates the amount of financial compensation required or paid as indemnity as a result of a war or armed conflict.
-
B.
imposedWarIndemnityOn
Indicates that one party required another party to pay financial compensation as a penalty or reparation following a conflict or war.
-
C.
transferredAsWarReparationsTo
Indicates that something was moved from one party to another specifically as compensation or payment imposed after a war.
-
D.
reparationAmountPerPerson
Indicates the specific amount of reparations allocated or owed to each individual person involved.
-
E.
exchangeRateToReichsmark
Indicates the conversion rate or value of one currency in terms of Reichsmarks.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60691a4c081909a2589d00b68838d |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:17 p.m.