Triple
T8069924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet economic reforms of 1965 |
E188344
|
entity |
| Predicate | changedRoleOf |
P63410
|
FINISHED |
| Object | ministries supervising enterprises |
—
|
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: ministries supervising enterprises | Statement: [Soviet economic reforms of 1965, changedRoleOf, ministries supervising enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedRoleOf Context triple: [Soviet economic reforms of 1965, changedRoleOf, ministries supervising enterprises]
-
A.
changedFrom
Indicates that an entity previously had one state, value, or form and was altered or updated from that prior condition to a new one.
-
B.
redefinedRoleOf
chosen
Indicates that one entity has changed, updated, or newly specified the function, responsibilities, or position of another entity.
-
C.
changedNameIn
Indicates that an entity has altered or adopted a different name within a specific context, time period, or jurisdiction.
-
D.
roleTakenOverFrom
Indicates that one entity has assumed or inherited a role or position that was previously held by another entity.
-
E.
changedNameOn
Indicates that an entity altered or updated its name at a specific point in time or on a particular date.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ffe29188190834ec4f71043a99d |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.