Triple
T20557335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abaza |
E504752
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Tapanta Abaza |
—
|
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: Tapanta Abaza | Statement: [Abaza, hasDialect, Tapanta Abaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapanta Abaza Context triple: [Abaza, hasDialect, Tapanta Abaza]
-
A.
Tapanta Abaza
chosen
Tapanta Abaza are a subgroup of the Abaza people, traditionally inhabiting regions of the North Caucasus and speaking a Northwest Caucasian language closely related to Abkhaz.
-
B.
Abasolo
Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
-
C.
Gubarra
Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
-
D.
Anazarba
Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
-
E.
Bassignana
Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5de9c008190b8620628fb285e90 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.