Triple
T1766228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek language |
E38769
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Hellenic language |
C7724
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Hellenic language Context triple: [Greek language, instanceOf, Hellenic language]
-
A.
Greek language variety
A Greek language variety is a distinct form of the Greek language, characterized by specific phonological, grammatical, lexical, and pragmatic features associated with particular regions, communities, or social groups.
-
B.
Byzantine Greek
Byzantine Greek is the form of the Greek language used in the Eastern Roman (Byzantine) Empire from late antiquity to the fall of Constantinople, characterized by a mixture of classical, Koine, and emerging medieval features in grammar, vocabulary, and style.
-
C.
ancient Greek
An ancient Greek is a person from the civilizations of classical Greece, typically characterized by participation in city-state life, polytheistic religion, and contributions to early Western philosophy, art, and politics.
-
D.
variety of the Greek language
A variety of the Greek language is a distinct form or dialect of Greek, characterized by specific phonological, grammatical, lexical, and pragmatic features used by a particular community or in a particular context.
-
E.
Vlach language
The Vlach language is a Romance language or group of dialects spoken by Vlach communities in the Balkans, characterized by strong influence from surrounding Slavic, Greek, and Albanian languages.
- F. None of above. chosen
Provenance (1 batch)
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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:31 p.m.