Triple
T903342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sluha Narodu |
E19493
|
entity |
| Predicate | holdsOffice |
P16080
|
FINISHED |
| Object | President of Ukraine (through Volodymyr Zelenskyy) |
—
|
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: President of Ukraine (through Volodymyr Zelenskyy) | Statement: [Sluha Narodu, holdsOffice, President of Ukraine (through Volodymyr Zelenskyy)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsOffice Context triple: [Sluha Narodu, holdsOffice, President of Ukraine (through Volodymyr Zelenskyy)]
-
A.
memberHoldsOffice
chosen
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
B.
alsoHoldsOfficeOf
Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
-
C.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
D.
servesAsOfficeOf
Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
-
E.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.