Triple
T10409134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Deulino |
E245340
|
entity |
| Predicate | effectOnRussia |
P93970
|
FINISHED |
| Object | recognized loss of several western borderlands |
—
|
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: recognized loss of several western borderlands | Statement: [Treaty of Deulino, effectOnRussia, recognized loss of several western borderlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnRussia Context triple: [Treaty of Deulino, effectOnRussia, recognized loss of several western borderlands]
-
A.
effectOnUnitedStates
Indicates the impact, influence, or consequences that something has on the United States.
-
B.
impactOnIran
Indicates the effect or consequences that an action, event, or policy has on Iran.
-
C.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
D.
effectOnAustria
Indicates the impact or influence that one entity, event, or action has on Austria.
-
E.
RussiaControls
Indicates that Russia exercises authority, influence, or governing power over the specified entity or territory.
- F. None of above. chosen
Provenance (4 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:09 p.m.