Triple
T37836679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | პოზიცია_ორგანიზაციაში |
P12630
|
FINISHED |
| Object | პრეზიდენტი |
—
|
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: პრეზიდენტი | Statement: [ლევან კობიაშვილი, პოზიცია_ორგანიზაციაში, პრეზიდენტი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: პოზიცია_ორგანიზაციაში Context triple: [ლევან კობიაშვილი, პოზიცია_ორგანიზაციაში, პრეზიდენტი]
-
A.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
B.
hasPositionInOrganization
chosen
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
C.
workPosition
Indicates the specific job role or position that an entity holds within an organization or workplace.
-
D.
organizationalPlacement
Indicates how an entity is positioned or situated within an organization’s structure or hierarchy.
-
E.
appointedPositionOf
Indicates that an entity holds or has been officially assigned to a particular position, role, or office.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.