Triple
T14586371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yopougon |
E342325
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Baoulé |
E891232
|
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: Baoulé | Statement: [Yopougon, languageUsed, Baoulé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baoulé Context triple: [Yopougon, languageUsed, Baoulé]
-
A.
Baoulé
chosen
Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
-
B.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
C.
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.
-
D.
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.
-
E.
Lelekou
Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bef27481908c108110dbf21780 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.