Triple
T20204653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barisakho |
E493316
|
entity |
| Predicate | hasNearbyCulturalRegion |
P1968
|
FINISHED |
| Object | Pshavi |
—
|
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: Pshavi | Statement: [Barisakho, hasNearbyCulturalRegion, Pshavi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pshavi Context triple: [Barisakho, hasNearbyCulturalRegion, 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.
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.
-
C.
Tavaeli
Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
D.
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.
-
E.
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.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d913c088190b80b251fba5c368f |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.