Triple
T22150591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadz dialect |
E547401
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Sadz Abkhazians |
—
|
NE NERFINISHED |
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: Sadz Abkhazians | Statement: [Sadz dialect, ethnicGroup, Sadz Abkhazians]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadz Abkhazians Context triple: [Sadz dialect, ethnicGroup, Sadz Abkhazians]
-
A.
Sadz Abkhaz
chosen
Sadz Abkhaz are a subgroup of the Abkhaz people traditionally inhabiting parts of the Black Sea coast and northwest Caucasus, known for their distinct dialect and cultural traditions.
-
B.
Abzhywa Abkhaz
Abzhywa Abkhaz is a major dialect of the Abkhaz language, spoken primarily in the central Abzhywa region of Abkhazia.
-
C.
Abkhaz cuisine
Abkhaz cuisine is the traditional food culture of the Abkhaz people of the Caucasus, known for its use of corn-based dishes, fresh dairy products, and spicy seasonings.
-
D.
Bzyb Abkhaz
Bzyb Abkhaz is a dialect of the Abkhaz language traditionally spoken in the Bzyb River region of Abkhazia.
-
E.
Abaza
Abaza is a Northwest Caucasian language spoken primarily in the Russian Republic of Karachay-Cherkessia, known for its complex consonant system and rich verbal morphology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f37dac8190a7cecb12f4271515 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.