Triple
T9918923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangme people |
E185939
|
entity |
| Predicate | traditionalArea |
P14194
|
FINISHED |
| Object | Yilo Krobo |
E585921
|
NE FINISHED |
How this triple was built (2 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: Yilo Krobo | Statement: [Dangme people, traditionalArea, Yilo Krobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yilo Krobo Context triple: [Dangme people, traditionalArea, Yilo Krobo]
-
A.
Mampong
Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
-
B.
Obuasi
Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
-
C.
Koforidua
chosen
Koforidua is a major city in southern Ghana known as an administrative, commercial, and transportation hub for the Eastern Region.
-
D.
Dangme
Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
-
E.
Winneba, Ghana
Winneba, Ghana is a coastal town in the Central Region of Ghana known for its fishing industry, Aboakyer festival, and the University of Education, Winneba.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5685a908190ab3e55b9bf9613f6 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228b8974c81909a603407ebe3df1f |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:42 p.m.