Triple
T473746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Racha-Lechkhumi |
E9014
|
entity |
| Predicate | traditionalWineType |
P4038
|
FINISHED |
| Object |
Tvishi
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
|
E63147
|
NE FINISHED |
How this triple was built (4 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: Tvishi | Statement: [Racha-Lechkhumi, traditionalWineType, Tvishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tvishi Context triple: [Racha-Lechkhumi, traditionalWineType, Tvishi]
-
A.
Tverya
Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
-
B.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
C.
Varhadi
Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
-
D.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
E.
Avully
Avully is a small Swiss municipality located in the canton of Geneva, near the French border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tvishi Triple: [Racha-Lechkhumi, traditionalWineType, Tvishi]
Generated description
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tvishi Target entity description: Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
-
A.
Tverya
Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
-
B.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
C.
Varhadi
Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
-
D.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
E.
Avully
Avully is a small Swiss municipality located in the canton of Geneva, near the French border.
- F. None of above. chosen
Provenance (5 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0208c788190a96cdabcf593fda7 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4984a0bc08190ab913090da6b76a7 |
completed | March 1, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69a498f832f48190b36c4ae5059a50d3 |
completed | March 1, 2026, 7:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a499dbfdf08190bedce53795790963 |
completed | March 1, 2026, 7:56 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.