Triple
T15795484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | კონსტანტინე გამსახურდია |
E382965
|
entity |
| Predicate | თემა |
P261
|
FINISHED |
| Object | ეროვნული თვითშეგნება |
—
|
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: ეროვნული თვითშეგნება | Statement: [კონსტანტინე გამსახურდია, თემა, ეროვნული თვითშეგნება]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: თემა Context triple: [კონსტანტინე გამსახურდია, თემა, ეროვნული თვითშეგნება]
-
A.
theme
chosen
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
tacklesTheme
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
-
D.
thematicConcept
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
E.
subtheme
Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
- 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.