Triple
T540186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Africa |
E12611
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Lomé
Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
|
E71688
|
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: Lomé | Statement: [West Africa, hasMajorCity, Lomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lomé Context triple: [West Africa, hasMajorCity, Lomé]
-
A.
Abidjan
Abidjan is a major economic and cultural hub on the southern coast of Côte d'Ivoire, known for its bustling port, modern skyline, and status as one of the largest cities in West Africa.
-
B.
Libreville
Libreville is the largest city and main economic and cultural center of Gabon, located on the country’s Atlantic coast.
-
C.
Bamako
Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
-
D.
Ouagadougou
Ouagadougou is the capital and largest city of Burkina Faso, serving as its political, economic, and cultural center in the Sahel region.
-
E.
Brazzaville
Brazzaville is the capital and largest city of the Republic of the Congo, located on the Congo River directly across from Kinshasa in Central Africa.
- 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: Lomé Triple: [West Africa, hasMajorCity, Lomé]
Generated description
Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lomé Target entity description: Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
-
A.
Abidjan
Abidjan is a major economic and cultural hub on the southern coast of Côte d'Ivoire, known for its bustling port, modern skyline, and status as one of the largest cities in West Africa.
-
B.
Libreville
Libreville is the largest city and main economic and cultural center of Gabon, located on the country’s Atlantic coast.
-
C.
Bamako
Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
-
D.
Ouagadougou
Ouagadougou is the capital and largest city of Burkina Faso, serving as its political, economic, and cultural center in the Sahel region.
-
E.
Brazzaville
Brazzaville is the capital and largest city of the Republic of the Congo, located on the Congo River directly across from Kinshasa in Central Africa.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985feee481908184a39210feab95 |
completed | March 1, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4fc7b283c8190af5fb7fa649a9095 |
completed | March 2, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69a4fd82527c81908f996fb4ac1d1000 |
completed | March 2, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4fdfce6148190998b823f069cd43d |
completed | March 2, 2026, 3:03 a.m. |
Created at: March 1, 2026, 7:32 p.m.