Triple
T5037618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N'Djamena |
E113463
|
entity |
| Predicate | connectedByRoadTo |
P11435
|
FINISHED |
| Object |
Moundou
Moundou is a major city in southwestern Chad and an important industrial and commercial center, particularly known for its cotton and oil industries.
|
E492258
|
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: Moundou | Statement: [N'Djamena, connectedByRoadTo, Moundou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moundou Context triple: [N'Djamena, connectedByRoadTo, Moundou]
-
A.
Bangui
Bangui is the capital and largest city of the Central African Republic, serving as its political, economic, and cultural center.
-
B.
Ngaoundéré
Ngaoundéré is a major city in northern Cameroon that serves as the regional capital of Adamawa and an important commercial and transport hub between central and northern Africa.
-
C.
N'Djamena
N'Djamena is the largest city and political, economic, and cultural center of Chad, located in the southwestern part of the country near the border with Cameroon.
-
D.
Bamenda
Bamenda is a prominent city in northwestern Cameroon known as a cultural and commercial hub of the Anglophone region.
-
E.
Ouaga
Ouaga is the commonly used short name for Ouagadougou, the capital and largest city of Burkina Faso.
- 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: Moundou Triple: [N'Djamena, connectedByRoadTo, Moundou]
Generated description
Moundou is a major city in southwestern Chad and an important industrial and commercial center, particularly known for its cotton and oil industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moundou Target entity description: Moundou is a major city in southwestern Chad and an important industrial and commercial center, particularly known for its cotton and oil industries.
-
A.
Bangui
Bangui is the capital and largest city of the Central African Republic, serving as its political, economic, and cultural center.
-
B.
Ngaoundéré
Ngaoundéré is a major city in northern Cameroon that serves as the regional capital of Adamawa and an important commercial and transport hub between central and northern Africa.
-
C.
N'Djamena
N'Djamena is the largest city and political, economic, and cultural center of Chad, located in the southwestern part of the country near the border with Cameroon.
-
D.
Bamenda
Bamenda is a prominent city in northwestern Cameroon known as a cultural and commercial hub of the Anglophone region.
-
E.
Ouaga
Ouaga is the commonly used short name for Ouagadougou, the capital and largest city of Burkina Faso.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73daaa788190b670f6c328bfa44f |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0f21d308190adbac06397f90cee |
completed | March 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69beb2d2ea3c8190bebbe8008333ce1a |
completed | March 21, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb340481481908ed524184d63f755 |
completed | March 21, 2026, 3:03 p.m. |
Created at: March 20, 2026, 1:37 p.m.