Triple
T35895715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აღმოსავლეთი საქართველო |
E1038215
|
entity |
| Predicate | გეოგრაფიული მხარე |
P171825
|
FINISHED |
| Object | კავკასია |
—
|
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: კავკასია | Statement: [აღმოსავლეთი საქართველო, გეოგრაფიული მხარე, კავკასია]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: გეოგრაფიული მხარე Context triple: [აღმოსავლეთი საქართველო, გეოგრაფიული მხარე, კავკასია]
-
A.
جهت جغرافیایی
chosen
Indicates the spatial or compass direction in which one entity is oriented or located relative to another.
-
B.
geographicalEffect
Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
-
C.
ردهٔجغرافیایی
Indicates a geographical classification or categorization relationship between entities based on their location or spatial grouping.
-
D.
geographicalMetaphor
Indicates a figurative relationship where spatial or geographic terms are used metaphorically to describe non-spatial concepts or relationships.
-
E.
geographicalReality
Indicates that something pertains to, reflects, or is constrained by actual physical geography or spatial conditions in the real world.
- 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_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.