Triple
T6576357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humburi Senni language |
E155572
|
entity |
| Predicate | hasLoanwordsFrom |
P506
|
FINISHED |
| Object | Tamasheq |
E203666
|
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: Tamasheq | Statement: [Humburi Senni language, hasLoanwordsFrom, Tamasheq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamasheq Context triple: [Humburi Senni language, hasLoanwordsFrom, Tamasheq]
-
A.
Tamasheq
chosen
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
-
B.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
C.
ትግርኛ
ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
-
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.
Kanuri
The Kanuri are a major ethnic group of the central Sahara and Lake Chad region, historically associated with the Kanem-Bornu Empire and known for their distinct language and Islamic cultural heritage.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae7399488190b5f6948c60188aec |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42945348190882e6ffd05977d36 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:54 p.m.