Triple
T6077251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Region |
E135430
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Bafang
Bafang is a significant urban center in western Cameroon known for its role as an administrative and commercial hub in the region.
|
E567552
|
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: Bafang | Statement: [West Region, hasMajorCity, Bafang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bafang Context triple: [West Region, hasMajorCity, Bafang]
-
A.
Brompton
Brompton is a historic and affluent district in West London known for its museums, garden squares, and proximity to Knightsbridge and South Kensington.
-
B.
Brompton
Brompton is a historic village and suburb in the Medway area of Kent, England, known for its military heritage and proximity to the former Chatham Dockyard.
-
C.
Schwalbe
Schwalbe was the German nickname for the Messerschmitt Me 262, the pioneering World War II jet fighter aircraft.
-
D.
KTM
KTM is an Austrian motorcycle manufacturer renowned for its high-performance racing and off-road bikes, including its factory team participation in MotoGP.
-
E.
Ola Bike
Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
- 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: Bafang Triple: [West Region, hasMajorCity, Bafang]
Generated description
Bafang is a significant urban center in western Cameroon known for its role as an administrative and commercial hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bafang Target entity description: Bafang is a significant urban center in western Cameroon known for its role as an administrative and commercial hub in the region.
-
A.
Brompton
Brompton is a historic and affluent district in West London known for its museums, garden squares, and proximity to Knightsbridge and South Kensington.
-
B.
Brompton
Brompton is a historic village and suburb in the Medway area of Kent, England, known for its military heritage and proximity to the former Chatham Dockyard.
-
C.
Schwalbe
Schwalbe was the German nickname for the Messerschmitt Me 262, the pioneering World War II jet fighter aircraft.
-
D.
KTM
KTM is an Austrian motorcycle manufacturer renowned for its high-performance racing and off-road bikes, including its factory team participation in MotoGP.
-
E.
Ola Bike
Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
- 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.