Triple
T17124300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiès Region |
E415550
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Tivaouane |
E1188542
|
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: Tivaouane | Statement: [Thiès Region, hasCity, Tivaouane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tivaouane Context triple: [Thiès Region, hasCity, Tivaouane]
-
A.
Tivaouane
chosen
Tivaouane is a prominent Senegalese city renowned as a major religious and cultural hub of the Tijaniyya Sufi order.
-
B.
Bongouanou
Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
-
C.
Anjara
Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
-
D.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
E.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding 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_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_6a014147db18819083e6cfbb597687c1 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.