Triple
T37836673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | ნაკრების_ქვეყანა |
P189258
|
FINISHED |
| Object | საქართველო |
—
|
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: საქართველო | Statement: [ლევან კობიაშვილი, ნაკრების_ქვეყანა, საქართველო]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ნაკრების_ქვეყანა Context triple: [ლევან კობიაშვილი, ნაკრების_ქვეყანა, საქართველო]
-
A.
გავლის_ქვეყანა
Indicates a country through which something or someone passes or travels.
-
B.
წყარო_ქვეყანა
Indicates the country from which something originates or is sourced.
-
C.
გამდინარე_ქვეყანა
Indicates that one country is the source or origin country from which something (such as migrants, goods, capital, or information) flows or departs.
-
D.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
E.
დამფუძნებელი ქვეყანა
Indicates that one entity is a founding country of another entity, such as an organization, union, or initiative.
- F. None of above. chosen
Provenance (4 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_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.