Triple
T4490338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsitska |
E107355
|
entity |
| Predicate | oftenBlendedWith |
P12771
|
FINISHED |
| Object | Krakhuna |
E112101
|
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: Krakhuna | Statement: [Tsitska, oftenBlendedWith, Krakhuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krakhuna Context triple: [Tsitska, oftenBlendedWith, Krakhuna]
-
A.
Krakhuna
chosen
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
B.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
C.
Shogran
Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
-
D.
Kharabali
Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f8190e88190aec651ac9fe9ef92 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 12:59 p.m.