Triple
T27399479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Morozov |
E691788
|
entity |
| Predicate | consequenceOfPolicies |
P168947
|
FINISHED |
| Object | outbreak of the 1648 Salt Riot in Moscow |
—
|
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: outbreak of the 1648 Salt Riot in Moscow | Statement: [Boris Morozov, consequenceOfPolicies, outbreak of the 1648 Salt Riot in Moscow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfPolicies Context triple: [Boris Morozov, consequenceOfPolicies, outbreak of the 1648 Salt Riot in Moscow]
-
A.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
B.
consequenceOfReforms
Indicates that something occurs as a result of, or is caused by, a set of reforms.
-
C.
consequenceOfApplication
Indicates that something occurs as a result or outcome of a particular application or use of something.
-
D.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
E.
exploresConsequencesOf
Indicates that one entity investigates, analyzes, or examines the outcomes, implications, or effects resulting from another entity or event.
- 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 12:28 p.m.