Triple
T18714480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | თერგი |
E457598
|
entity |
| Predicate | ქვეყნის საზღვართან ფუნქცია |
P40726
|
FINISHED |
| Object | საქართველოსა და რუსეთის საზღვრის მონაკვეთის ფორმირება |
—
|
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: საქართველოსა და რუსეთის საზღვრის მონაკვეთის ფორმირება | Statement: [თერგი, ქვეყნის საზღვართან ფუნქცია, საქართველოსა და რუსეთის საზღვრის მონაკვეთის ფორმირება]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ქვეყნის საზღვართან ფუნქცია Context triple: [თერგი, ქვეყნის საზღვართან ფუნქცია, საქართველოსა და რუსეთის საზღვრის მონაკვეთის ფორმირება]
-
A.
countryBorderFeatureOf
chosen
Indicates that a geographical feature (such as a river, mountain range, or coastline) serves as or is part of the border of a country.
-
B.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
C.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
D.
geographicBoundary
Indicates that one entity serves as a limiting border or edge that defines the geographic extent or separation of another entity.
-
E.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab4ee6881908f19558937cbb078 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.