Triple
T16607025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdoulaye Wade |
E403470
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Kébémer
Kébémer is a town in northwestern Senegal known as the birthplace of former Senegalese president Abdoulaye Wade.
|
E1223829
|
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: Kébémer | Statement: [Abdoulaye Wade, placeOfBirth, Kébémer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kébémer Context triple: [Abdoulaye Wade, placeOfBirth, Kébémer]
-
A.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
B.
Kadjebi
Kadjebi is a town and district capital in northeastern Ghana known as an administrative and commercial center within the Oti Region.
-
C.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
D.
Nakambé
Nakambé is the local name for the White Volta River, a major watercourse in West Africa flowing through Burkina Faso and Ghana.
-
E.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
- 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: Kébémer Triple: [Abdoulaye Wade, placeOfBirth, Kébémer]
Generated description
Kébémer is a town in northwestern Senegal known as the birthplace of former Senegalese president Abdoulaye Wade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kébémer Target entity description: Kébémer is a town in northwestern Senegal known as the birthplace of former Senegalese president Abdoulaye Wade.
-
A.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
B.
Kadjebi
Kadjebi is a town and district capital in northeastern Ghana known as an administrative and commercial center within the Oti Region.
-
C.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
D.
Nakambé
Nakambé is the local name for the White Volta River, a major watercourse in West Africa flowing through Burkina Faso and Ghana.
-
E.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36091de048190b40aa42b1a0681cc |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daa9f7c8190a9540d9a7a6ca6fb |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.