Triple
T16567985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mubi |
E402511
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Mubi (Chad)
Mubi (Chad) is a town in Chad, likely distinct from the better-known Mubi in Nigeria, and serves as a local administrative and population center.
|
E1221475
|
NE FINISHED |
How this triple was built (4 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: Mubi (Chad) | Statement: [Mubi, hasAlternativeName, Mubi (Chad)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mubi (Chad) Context triple: [Mubi, hasAlternativeName, Mubi (Chad)]
-
A.
Maba (Chad)
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.
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.
-
D.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
E.
Nzara, Sudan
Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mubi (Chad) Triple: [Mubi, hasAlternativeName, Mubi (Chad)]
Generated description
Mubi (Chad) is a town in Chad, likely distinct from the better-known Mubi in Nigeria, and serves as a local administrative and population center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mubi (Chad) Target entity description: Mubi (Chad) is a town in Chad, likely distinct from the better-known Mubi in Nigeria, and serves as a local administrative and population center.
-
A.
Maba (Chad)
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.
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.
-
D.
Sarh
Sarh is a city in southern Chad that serves as a regional commercial and transportation hub along the Chari River.
-
E.
Nzara, Sudan
Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
- F. None of above. chosen
Provenance (5 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee3dcbc819087ea66b262585232 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006ff5bdb88190be90d7446e24b61f |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007088fd988190b3dfef081769d03e |
completed | May 10, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:16 a.m.