Triple
T10409132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Deulino |
E245340
|
entity |
| Predicate | effectOnSmolensk |
P93969
|
FINISHED |
| Object | confirmed Polish–Lithuanian control of Smolensk |
—
|
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: confirmed Polish–Lithuanian control of Smolensk | Statement: [Treaty of Deulino, effectOnSmolensk, confirmed Polish–Lithuanian control of Smolensk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnSmolensk Context triple: [Treaty of Deulino, effectOnSmolensk, confirmed Polish–Lithuanian control of Smolensk]
-
A.
effectOnAustria
Indicates the impact or influence that one entity, event, or action has on Austria.
-
B.
SovietOperation
Indicates that an operation, mission, or organized activity is conducted by, on behalf of, or under the authority of the Soviet Union or its institutions.
-
C.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
D.
effectOnDutchRepublic
Indicates the impact or consequences that something has on the Dutch Republic.
-
E.
SovietAction
Indicates actions, policies, or interventions carried out by the Soviet Union or its authorities toward another entity.
- 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.