Triple
T5116415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khevsureti |
E115345
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Pshavi |
E156322
|
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: Pshavi | Statement: [Khevsureti, connectedTo, Pshavi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pshavi Context triple: [Khevsureti, connectedTo, Pshavi]
-
A.
Pshavi
chosen
Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
-
B.
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.
-
C.
Martvili
Martvili is a small town in western Georgia known for its scenic canyon, waterfalls, and historic monastery, making it a notable natural and cultural attraction in the Samegrelo region.
-
D.
Bolnisi
Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
-
E.
Meskheti
Meskheti is a historical region in southwestern Georgia known for its mountainous landscapes, strategic location along ancient trade routes, and culturally diverse 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75cfa9f88190aa7dfd264e554899 |
completed | March 20, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219fbf6c8190b84f866274817b9f |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:41 p.m.