Triple
T3237782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaadir |
E67895
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Somali |
E206750
|
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: Somali | Statement: [Banaadir, languageUsed, Somali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somali Context triple: [Banaadir, languageUsed, Somali]
-
A.
Somali
Somali is a Cushitic language spoken primarily in Somalia and neighboring regions of the Horn of Africa, serving as a major lingua franca and national language for the Somali people.
-
B.
Afar language
The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
-
C.
Benadiri Somali
chosen
Benadiri Somali is a coastal dialect of the Somali language spoken primarily by communities in and around Mogadishu and along Somalia’s southern Benadir coast.
-
D.
Badaga language
Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
-
E.
ትግርኛ
ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef29bf48190a9aa3a39f0138428 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774a97c481908be820bc5ddf786d |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.