Triple
T35895677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აღმოსავლეთი საქართველო |
E1038215
|
entity |
| Predicate | ქვეყნის მხარე |
P17189
|
FINISHED |
| Object | საქართველო |
—
|
NE NERFINISHED |
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: [აღმოსავლეთი საქართველო, ქვეყნის მხარე, საქართველო]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ქვეყნის მხარე Context triple: [აღმოსავლეთი საქართველო, ქვეყნის მხარე, საქართველო]
-
A.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
B.
countryOnOneSide
chosen
Indicates that one entity is located on one side or border of a specified country.
-
C.
regionCountrySide
Indicates that a region is located in or associated with the countryside or rural area of a country.
-
D.
ეროვნება
Indicates a relationship where an entity has or is associated with a particular nationality.
-
E.
borderingCountryOnOtherSide
Indicates that one country lies on the opposite side of a shared border relative to another country.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:06 p.m.