Triple
T15795206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian highlands |
E382959
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Khevi |
E118967
|
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: Khevi | Statement: [Georgian highlands, hasPart, Khevi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khevi Context triple: [Georgian highlands, hasPart, Khevi]
-
A.
Khevi
chosen
Khevi is a historic mountainous region in northeastern Georgia, known for its dramatic gorges, high peaks, and medieval cultural heritage.
-
B.
Tavaeli
Tavaeli is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
C.
Mtkvari River
The Mtkvari River, also known as the Kura, is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
-
D.
Chkhaveri
Chkhaveri is a traditional Georgian grape variety known for producing distinctive, often semi-sweet rosé and red wines, particularly in western Georgia.
-
E.
Gekhi River
The Gekhi River is a smaller watercourse in the North Caucasus region that serves as a tributary within the Sunzha River basin.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90ab23048190a6d976c9a3143647 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.