Triple
T6307688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Region |
E141418
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Assin Foso
Assin Foso is a prominent town in Ghana that serves as a commercial and administrative hub within the country’s Central Region.
|
E584729
|
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: Assin Foso | Statement: [Central Region, hasCity, Assin Foso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assin Foso Context triple: [Central Region, hasCity, Assin Foso]
-
A.
Boaventura
Boaventura is a Portuguese-origin surname notably borne by Brazilian actor and singer Daniel Boaventura.
-
B.
Sun Kosi
The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
-
C.
Sena of Tete
Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
-
D.
Assis
Assis is a municipality in the western part of the state of São Paulo, Brazil, known as a regional commercial and educational center.
-
E.
Tiyo Soga
Tiyo Soga was a pioneering 19th-century Xhosa Presbyterian minister, intellectual, and the first black South African to be ordained in Scotland, known for his influential role in Christianity and education in South Africa.
- 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: Assin Foso Triple: [Central Region, hasCity, Assin Foso]
Generated description
Assin Foso is a prominent town in Ghana that serves as a commercial and administrative hub within the country’s Central Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Assin Foso Target entity description: Assin Foso is a prominent town in Ghana that serves as a commercial and administrative hub within the country’s Central Region.
-
A.
Boaventura
Boaventura is a Portuguese-origin surname notably borne by Brazilian actor and singer Daniel Boaventura.
-
B.
Sun Kosi
The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
-
C.
Sena of Tete
Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
-
D.
Assis
Assis is a municipality in the western part of the state of São Paulo, Brazil, known as a regional commercial and educational center.
-
E.
Tiyo Soga
Tiyo Soga was a pioneering 19th-century Xhosa Presbyterian minister, intellectual, and the first black South African to be ordained in Scotland, known for his influential role in Christianity and education in South Africa.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647d38008190abaf96632712ddf9 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45330ec8190945682962ae823b0 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5ed89dbc88190abda05d9d06fb7b5 |
completed | March 27, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee08cc488190baaafc1e679f83aa |
completed | March 27, 2026, 2:40 a.m. |
Created at: March 22, 2026, 4:28 p.m.