Triple
T14586367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yopougon |
E342325
|
entity |
| Predicate | locatedWestOf |
P4239
|
FINISHED |
| Object | Cocody |
E1079532
|
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: Cocody | Statement: [Yopougon, locatedWestOf, Cocody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocody Context triple: [Yopougon, locatedWestOf, Cocody]
-
A.
Yopougon
Yopougon is a large, populous district of Abidjan in Côte d'Ivoire, known for its vibrant nightlife, industrial zones, and diverse residential neighborhoods.
-
B.
Dansoman
Dansoman is a large residential suburb of Accra in Ghana, known for its vibrant community, schools, and entertainment spots.
-
C.
Abidjan Autonomous District
chosen
Abidjan Autonomous District is a special administrative region in Côte d'Ivoire that encompasses the country's largest city and economic capital, Abidjan.
-
D.
Biassou
Biassou was a prominent early leader of the Haitian Revolution, known for his role in organizing and directing the initial slave uprisings against French colonial rule.
-
E.
Bobo-Dioulasso
Bobo-Dioulasso is the second-largest city of Burkina Faso, known as a major economic and cultural center in the country’s southwest.
- 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_69fdd5c79c488190a134d2b0435e899e |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:24 a.m.