Triple
T33738021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First State Duma of the Russian Empire |
E864476
|
entity |
| Predicate | officeHeldByPresidingOfficer |
P166109
|
FINISHED |
| Object | Chairman of the State Duma |
—
|
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: Chairman of the State Duma | Statement: [First State Duma of the Russian Empire, officeHeldByPresidingOfficer, Chairman of the State Duma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHeldByPresidingOfficer Context triple: [First State Duma of the Russian Empire, officeHeldByPresidingOfficer, Chairman of the State Duma]
-
A.
officeHeldByMember
Indicates that a specific office or position is held or occupied by a particular member.
-
B.
hasPresidingOfficer
Indicates that one entity serves as the presiding officer (leader or chair) over another entity, such as an organization, meeting, or body.
-
C.
officeHeldByActor
Indicates that a specific office, position, or role is held or occupied by a particular actor.
-
D.
officeHeldByLeaderOf
chosen
Indicates that a specific office or position is occupied by the leader of a given entity.
-
E.
officeHeldOf
Indicates that a specific office or position is (or was) held by a particular person or entity.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
Created at: May 1, 2026, 1:44 a.m.