Triple
T5790481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abzhywa dialect |
E128379
|
entity |
| Predicate | languageBranch |
P1967
|
FINISHED |
| Object | Abkhaz–Abaza |
E125868
|
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: Abkhaz–Abaza | Statement: [Abzhywa dialect, languageBranch, Abkhaz–Abaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abkhaz–Abaza Context triple: [Abzhywa dialect, languageBranch, Abkhaz–Abaza]
-
A.
Abkhaz–Abaza
chosen
Abkhaz–Abaza is a small Northwest Caucasian language subgroup comprising closely related languages spoken primarily in Abkhazia and parts of the North Caucasus.
-
B.
Adyghe
Adyghe are a Northwest Caucasian ethnic group, also known as Circassians, indigenous to the northwestern Caucasus region.
-
C.
Abkhaz language
The Abkhaz language is a Northwest Caucasian language spoken primarily in Abkhazia and parts of the Caucasus region, known for its complex consonant system and relatively small vowel inventory.
-
D.
Adygeysk
Adygeysk is a small town in southwestern Russia that serves as one of the urban centers of the Republic of Adygea.
-
E.
Lezgian
Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135397abc8190b9c10974983be44d |
completed | March 23, 2026, 12:42 p.m. |
Created at: March 22, 2026, 3:51 p.m.