Triple
T20337010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Ossetian State University |
E495640
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tskhinvali |
—
|
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: Tskhinvali | Statement: [South Ossetian State University, locatedIn, Tskhinvali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tskhinvali Context triple: [South Ossetian State University, locatedIn, Tskhinvali]
-
A.
Tskhinvali
chosen
Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
-
B.
Zugdidi
Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
-
C.
Rustavi
Rustavi is an industrial city in southeastern Georgia, located near the capital Tbilisi and known for its steel production and Soviet-era urban planning.
-
D.
Bakuriani
Bakuriani is a popular ski resort town in Georgia known for its alpine scenery, winter sports facilities, and role as a year-round mountain tourism destination.
-
E.
Telavi
Telavi is a historic city in eastern Georgia known as the cultural and economic center of the Kakheti wine-producing region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
Created at: April 16, 2026, 11:23 a.m.