Triple
T3329401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan people |
E69997
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Fante language |
E302238
|
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: Fante language | Statement: [Akan people, language, Fante language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fante language Context triple: [Akan people, language, Fante language]
-
A.
Fante language
chosen
Fante language is a major dialect of the Akan language spoken primarily by the Fante people in coastal Ghana.
-
B.
Baoulé language
The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
-
C.
Potou–Tano languages
The Potou–Tano languages are a major branch of the Kwa language family spoken primarily in West Africa, including several important languages of Ghana and neighboring countries.
-
D.
Saramaccan language
The Saramaccan language is an English- and Portuguese-based creole spoken primarily by the Saramaccan Maroon community in Suriname and parts of French Guiana.
-
E.
Dangme language
The Dangme language is a Niger-Congo language spoken primarily by the Dangme people of southeastern Ghana, closely related to Ga and used in both everyday communication and local cultural practices.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.