Triple
T18714478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | თერგი |
E457598
|
entity |
| Predicate | გადაკვეთს მთიან რელიეფს |
P6786
|
FINISHED |
| Object | დიდი კავკასიონის ჩრდილოეთი ფერდობები |
—
|
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: დიდი კავკასიონის ჩრდილოეთი ფერდობები | Statement: [თერგი, გადაკვეთს მთიან რელიეფს, დიდი კავკასიონის ჩრდილოეთი ფერდობები]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: გადაკვეთს მთიან რელიეფს Context triple: [თერგი, გადაკვეთს მთიან რელიეფს, დიდი კავკასიონის ჩრდილოეთი ფერდობები]
-
A.
hasReliefFeature
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
-
B.
sideOfMountain
Indicates that one entity is located on or corresponds to a particular side or face of a mountain relative to another entity.
-
C.
crossesMountainRange
chosen
Indicates that one entity traverses from one side of a mountain range to the other, passing through or over it.
-
D.
crossesMountainRangeTo
Indicates that one entity traverses from one side of a mountain range to the other, passing across or through it as a route or connection.
-
E.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
- 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.