Triple
T15795490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | კონსტანტინე გამსახურდია |
E382965
|
entity |
| Predicate | იყო |
P69227
|
FINISHED |
| Object | პროფესორი |
—
|
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: პროფესორი | Statement: [კონსტანტინე გამსახურდია, იყო, პროფესორი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: იყო Context triple: [კონსტანტინე გამსახურდია, იყო, პროფესორი]
-
A.
ייחוס
Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to another.
-
B.
iwi
Indicates a relationship of shared membership or belonging, where entities are part of the same group, community, or collective.
-
C.
HethIs
chosen
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
-
D.
נחשב
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
-
E.
son
Indicates a familial relationship where one entity is the male child of another 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.