Triple
T10489342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maba language |
E247372
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Maba (Chad) |
E867070
|
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: Maba (Chad) | Statement: [Maba language, hasAlternativeName, Maba (Chad)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maba (Chad) Context triple: [Maba language, hasAlternativeName, Maba (Chad)]
-
A.
Maba (Chad)
chosen
Maba (Chad) is a Nilo-Saharan language spoken primarily by the Maba people in eastern Chad.
-
B.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
C.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
D.
northern Chad
Northern Chad is a sparsely populated Saharan region characterized by desert landscapes, nomadic communities, and significant ethnic diversity including groups such as the Gorane.
-
E.
Makouda
Makouda is a town and commune located in northern Algeria within the Kabylie region.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dc44d7881908391487275b845bf |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:23 p.m.