Triple
T5503608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gremi |
E144383
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Kvareli |
E148498
|
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: Kvareli | Statement: [Gremi, nearbyTown, Kvareli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvareli Context triple: [Gremi, nearbyTown, Kvareli]
-
A.
Kvareli
chosen
Kvareli is a town in eastern Georgia’s Kakheti region, known for its wine production, historic fortress, and scenic location in the Alazani Valley near the Caucasus Mountains.
-
B.
Dusheti
Dusheti is a small historic town in eastern Georgia known for its mountainous surroundings and traditional architecture.
-
C.
Ambrolauri
Ambrolauri is a small town in western Georgia that serves as the administrative center of the Racha region, known for its mountainous scenery and local wine production.
-
D.
Pshavi
Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
-
E.
Vachnadze
Vachnadze is a Georgian noble family name historically associated with prominent figures in Georgian culture and society.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0bbea48190bb6fecaee9c0b1d0 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027aa65608190a89fdfb0da675d4d |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.