Triple
T15837722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Bila Tserkva (1651) |
E384025
|
entity |
| Predicate | effectOnCossacks |
P119846
|
FINISHED |
| Object | reduced registered Cossack numbers |
—
|
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: reduced registered Cossack numbers | Statement: [Treaty of Bila Tserkva (1651), effectOnCossacks, reduced registered Cossack numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnCossacks Context triple: [Treaty of Bila Tserkva (1651), effectOnCossacks, reduced registered Cossack numbers]
-
A.
effectOnSmolensk
Indicates the impact or consequences that something has on Smolensk.
-
B.
effectOnRussia
Indicates the impact or consequences that something has on Russia.
-
C.
effectOnPeasants
Indicates how an action, event, or condition impacts or influences peasants.
-
D.
effectOnConfederacy
Indicates the impact or influence that something has on the Confederate side or the Confederacy as a whole.
-
E.
effectOnShips
Indicates the impact or influence that one entity, event, or condition has on ships.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e3d48c8190ad0d0af89d062101 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007647f908190adb178c68c7bb7cf |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:49 a.m.