Triple
T495328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurians |
E10279
|
entity |
| Predicate | historicalProvince |
P915
|
FINISHED |
| Object | Guria |
E17206
|
NE 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: Guria | Statement: [Gurians, historicalProvince, Guria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guria Context triple: [Gurians, historicalProvince, Guria]
-
A.
Guria
chosen
Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
-
B.
Samegrelo
Samegrelo is a historic region in western Georgia known for its distinct Mingrelian culture, language, and cuisine.
-
C.
Svaneti
Svaneti is a remote mountainous region in northwestern Georgia, renowned for its medieval stone tower houses, unique Svan culture and language, and dramatic Caucasus landscapes.
-
D.
Kartli
Kartli is a historic central region of Georgia that has long been a political and cultural heartland for the Georgian people.
-
E.
Kakheti
Kakheti is a historic region in eastern Georgia renowned as the country’s primary wine-producing area and a center of Georgian cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fdd5608190815fa36485df8962 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4fc7b283c8190af5fb7fa649a9095 |
completed | March 2, 2026, 2:56 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.