Triple
T17124306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiès Region |
E415550
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Mbour Department |
E1084446
|
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: Mbour Department | Statement: [Thiès Region, hasDepartment, Mbour Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbour Department Context triple: [Thiès Region, hasDepartment, Mbour Department]
-
A.
Mbour Department
chosen
Mbour Department is an administrative division in Senegal’s Thiès Region, known for its coastal towns, fishing activities, and tourism along the Petite Côte.
-
B.
Mouloundou Department
Mouloundou Department is an administrative division located in southeastern Gabon within Ogooué-Lolo Province.
-
C.
Bénoué Department
Bénoué Department is an administrative division in northern Cameroon known for its capital Garoua and proximity to the Bénoué River and Bénoué National Park.
-
D.
Lékoumou Department
Lékoumou Department is an administrative region in the Republic of the Congo located in the southern part of the country.
-
E.
Guédiawaye Department
Guédiawaye Department is an administrative division in western Senegal that forms part of the greater Dakar metropolitan area.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f025fce481908e261f2e363e14f9 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016741fe6c81908ebbb022749915ab |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:36 a.m.