Triple
T1973948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burkina Faso |
E42862
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Ouahigouya
Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
|
E235867
|
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: Ouahigouya | Statement: [Burkina Faso, hasMajorCity, Ouahigouya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouahigouya Context triple: [Burkina Faso, hasMajorCity, Ouahigouya]
-
A.
Riobamba
Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
-
B.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
-
C.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
D.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
E.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
- 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: Ouahigouya Triple: [Burkina Faso, hasMajorCity, Ouahigouya]
Generated description
Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ouahigouya Target entity description: Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
-
A.
Riobamba
Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
-
B.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
-
C.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
D.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
E.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f6c4208190a41e02733faed8df |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5176d2f08190b3ebc53ea1def9be |
completed | March 9, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_69ae5209ae40819095e02cafb8112a1f |
completed | March 9, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae529375788190aead19ec0874f11e |
completed | March 9, 2026, 4:54 a.m. |
Created at: March 4, 2026, 7:36 p.m.