Triple
T35895676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აღმოსავლეთი საქართველო |
E1038215
|
entity |
| Predicate | ქვეყნის რეგიონი |
P8031
|
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 რეგიონი, საქართველო]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ქვეყნის რეგიონი Context triple: [აღმოსავლეთი საქართველო, ქვეყნის რეგიონი, საქართველო]
-
A.
წყარო_რეგიონი
Indicates a relationship where something originates from, is sourced in, or comes out of a particular region.
-
B.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
countryRegion
chosen
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
-
E.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
- 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_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.