Triple
T21645771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lomé (district of Bè-Kpota) |
E534208
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Bè-Kpota
Bè-Kpota is a neighborhood and administrative area within Lomé, the capital city of Togo.
|
E1494415
|
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: Bè-Kpota | Statement: [Lomé (district of Bè-Kpota), partOf, Bè-Kpota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bè-Kpota Context triple: [Lomé (district of Bè-Kpota), partOf, Bè-Kpota]
-
A.
Kapoeta
Kapoeta is a town in southeastern South Sudan that serves as an important local center for trade and administration in the Equatoria region.
-
B.
Bété
Bété is a group of Kru languages spoken primarily in western and central Côte d’Ivoire, known for its rich oral traditions and cultural significance among the Bété people.
-
C.
Kpeshie
Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
-
D.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
E.
Ténenkou
Ténenkou is a town and administrative center in central Mali, situated within the Mopti 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: Bè-Kpota Triple: [Lomé (district of Bè-Kpota), partOf, Bè-Kpota]
Generated description
Bè-Kpota is a neighborhood and administrative area within Lomé, the capital city of Togo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bè-Kpota Target entity description: Bè-Kpota is a neighborhood and administrative area within Lomé, the capital city of Togo.
-
A.
Kapoeta
Kapoeta is a town in southeastern South Sudan that serves as an important local center for trade and administration in the Equatoria region.
-
B.
Bété
Bété is a group of Kru languages spoken primarily in western and central Côte d’Ivoire, known for its rich oral traditions and cultural significance among the Bété people.
-
C.
Kpeshie
Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
-
D.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
E.
Ténenkou
Ténenkou is a town and administrative center in central Mali, situated within the Mopti 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5394c570819081dbbe7e0f98f7d3 |
completed | April 27, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0fa44ca88190a8a55c1811edc5a1 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a10c284548190abb5a0075f85ec2c |
completed | May 17, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a119cb17c8190a8732930b78b60cc |
completed | May 17, 2026, 7:06 p.m. |
Created at: April 16, 2026, 6:35 p.m.