Triple
T22033838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bzyb Abkhaz |
E544150
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Sadz Abkhaz |
—
|
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 Abkhaz | Statement: [Bzyb Abkhaz, closelyRelatedTo, Sadz Abkhaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadz Abkhaz Context triple: [Bzyb Abkhaz, closelyRelatedTo, Sadz Abkhaz]
-
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.
Bzyb Abkhaz
Bzyb Abkhaz is a dialect of the Abkhaz language traditionally spoken in the Bzyb River region of Abkhazia.
-
C.
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.
-
D.
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.
-
E.
Hajigabul
Hajigabul is a town in central Azerbaijan known as an administrative and transport hub near the Kura River and the Hajigabul Lake.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.