Triple
T2354808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgy Malenkov |
E47529
|
entity |
| Predicate | laterActivity |
P38710
|
FINISHED |
| Object | manager of a hydroelectric power station in Kazakhstan |
—
|
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: manager of a hydroelectric power station in Kazakhstan | Statement: [Georgy Malenkov, laterActivity, manager of a hydroelectric power station in Kazakhstan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterActivity Context triple: [Georgy Malenkov, laterActivity, manager of a hydroelectric power station in Kazakhstan]
-
A.
secondaryActivity
Indicates that an entity engages in an additional, non-primary activity or role alongside its main activity.
-
B.
laterGoal
Indicates that one goal occurs or is intended to be achieved after another goal in time.
-
C.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
laterNetwork
Indicates that one network occurs or is established after another network in time.
-
E.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.