Triple
T6077253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Region |
E135430
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Bangangté
Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
|
E567553
|
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: Bangangté | Statement: [West Region, hasMajorCity, Bangangté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangangté Context triple: [West Region, hasMajorCity, Bangangté]
-
A.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
B.
Tatumbla
Tatumbla is a small town and municipality located in the central Honduran highlands within the Francisco Morazán Department.
-
C.
Tebuange
Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
-
D.
Bango
Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
-
E.
Bawitdaba
"Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
- 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: Bangangté Triple: [West Region, hasMajorCity, Bangangté]
Generated description
Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangangté Target entity description: Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
-
A.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
B.
Tatumbla
Tatumbla is a small town and municipality located in the central Honduran highlands within the Francisco Morazán Department.
-
C.
Tebuange
Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
-
D.
Bango
Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
-
E.
Bawitdaba
"Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0576ef2c88190b0ec62e9f041d176 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d48f0508190991453dc17c53b89 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11ed5a5748190b7320890397c8ce9 |
completed | March 23, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11f34218c819094ce32eafff37489 |
completed | March 23, 2026, 11:08 a.m. |
Created at: March 22, 2026, 4:11 p.m.