Triple
T20337064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Цхинвал |
E495641
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Тскхинвал |
—
|
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: Тскхинвал | Statement: [Цхинвал, alternativeName, Тскхинвал]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Тскхинвал Context triple: [Цхинвал, alternativeName, Тскхинвал]
-
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.
Tavaeli
Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
C.
Bolnisi
Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
-
D.
Tsakhuri
Tsakhuri is an alternative name for the Tsakhur language, a Northeast Caucasian language spoken primarily in parts of Azerbaijan and Dagestan.
-
E.
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.
- 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.