Triple
T10400663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngounié Province |
E245136
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Fougamou
Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
|
E861664
|
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: Fougamou | Statement: [Ngounié Province, hasSettlement, Fougamou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fougamou Context triple: [Ngounié Province, hasSettlement, Fougamou]
-
A.
Foumban
Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
-
B.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
C.
Atakpamé
Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
-
D.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
-
E.
Lambaréné
Lambaréné is a town in western Gabon best known for its location on the Ogooué River and for hosting the historic Albert Schweitzer Hospital.
- 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: Fougamou Triple: [Ngounié Province, hasSettlement, Fougamou]
Generated description
Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fougamou Target entity description: Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
-
A.
Foumban
Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
-
B.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
C.
Atakpamé
Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
-
D.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
-
E.
Lambaréné
Lambaréné is a town in western Gabon best known for its location on the Ogooué River and for hosting the historic Albert Schweitzer Hospital.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbd13c888190b3a79a9aacb5291e |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:07 p.m.