Triple
T8833794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ትግርኛ |
E210211
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | ትግርኛ |
E210211
|
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: ትግርኛ | Statement: [ትግርኛ, nativeName, ትግርኛ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ትግርኛ Context triple: [ትግርኛ, nativeName, ትግርኛ]
-
A.
ትግርኛ
chosen
ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
-
B.
Afaan Orma
Afaan Orma is the native language of the Orma people, a Cushitic-speaking community primarily found in Kenya.
-
C.
Tamasheq
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
-
D.
Afar language
The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
-
E.
Ge'ez
Ge'ez is an ancient Semitic language of Ethiopia and Eritrea, best known today as the classical and liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60670fa48190b2a873f6498de7f6 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf8975a6f481908ee435d0435c8ffb |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:47 p.m.