Triple
T3975436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakharia Paliashvili |
E85627
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Paliashvili |
E85627
|
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: Paliashvili | Statement: [Zakharia Paliashvili, familyName, Paliashvili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paliashvili Context triple: [Zakharia Paliashvili, familyName, Paliashvili]
-
A.
Arsukidze
Arsukidze was a medieval Georgian architect renowned as the master builder of the Svetitskhoveli Cathedral in Mtskheta.
-
B.
Javakhishvili
Javakhishvili is a Georgian surname most notably associated with prominent figures such as writer Mikheil Javakhishvili.
-
C.
Robakidze
Robakidze is a Georgian surname most notably borne by the writer and public figure Grigol Robakidze.
-
D.
Zakharia Paliashvili
chosen
Zakharia Paliashvili was a prominent Georgian composer of the late 19th and early 20th centuries, best known for his operas that helped shape modern Georgian classical music.
-
E.
Mkhedruli
Mkhedruli is the modern Georgian script used for writing the Georgian language and several related Kartvelian languages.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b6d8008190822fceabe6542b3d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4ca9164819088b261d148e0d379 |
completed | March 14, 2026, 10:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.