Triple
T18714466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | თერგი |
E457598
|
entity |
| Predicate | მდინარის ტიპი |
P27890
|
FINISHED |
| Object | ნაკადული შერეული კვებით |
—
|
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: ნაკადული შერეული კვებით | Statement: [თერგი, მდინარის ტიპი, ნაკადული შერეული კვებით]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: მდინარის ტიპი Context triple: [თერგი, მდინარის ტიპი, ნაკადული შერეული კვებით]
-
A.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
B.
hasRiverineCharacteristic
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
C.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
D.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
E.
hasWatercourseType
chosen
Indicates the specific kind or category of watercourse (such as river, stream, or canal) associated with an entity.
- 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.