Triple
T19332897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargwa |
E483539
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | дарган мез |
—
|
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: дарган мез | Statement: [Dargwa, nativeName, дарган мез]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: дарган мез Context triple: [Dargwa, nativeName, дарган мез]
-
A.
Darganata
Darganata is a town in eastern Turkmenistan situated along the Amu Darya River in the Lebap Region.
-
B.
Megeb Dargwa
chosen
Megeb Dargwa is a variety of the Dargwa language spoken by a small community in the Republic of Dagestan in the North Caucasus region of Russia.
-
C.
Dagaaba
The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
-
D.
Dugu
Dugu is a semi-legendary figure sometimes cited as an early founder of the Sayfawa dynasty, the long-ruling royal house of the Kanem-Bornu Empire in Central Africa.
-
E.
Dagana
Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.