Triple
T23265893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Абаза |
E588144
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Abaza |
E504752
|
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: Abaza | Statement: [Абаза, hasAlternativeName, Abaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abaza Context triple: [Абаза, hasAlternativeName, Abaza]
-
A.
Abaza
chosen
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.
-
B.
Abaza people
The Abaza people are a Northwest Caucasian ethnic group closely related to the Abkhaz, traditionally inhabiting the North Caucasus and speaking the Abaza language.
-
C.
Abzhywa Abkhaz
Abzhywa Abkhaz is a major dialect of the Abkhaz language, spoken primarily in the central Abzhywa region of Abkhazia.
-
D.
Bzyb Abkhaz
Bzyb Abkhaz is a dialect of the Abkhaz language traditionally spoken in the Bzyb River region of Abkhazia.
-
E.
Abasgia
Abasgia was an ancient region and polity on the eastern coast of the Black Sea in the northwest Caucasus, historically inhabited by Abasgian tribes and later absorbed into neighboring kingdoms such as Lazica.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f194cc3b908190aaefd036aa2b52b5 |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f723d4081909c2ff75ba4ada497 |
completed | May 19, 2026, 10:46 a.m. |
Created at: April 17, 2026, 4:35 p.m.