Triple
T2812003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan |
E54191
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Akan language |
E151062
|
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: Akan language | Statement: [Akan, hasAlternativeName, Akan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akan language Context triple: [Akan, hasAlternativeName, Akan language]
-
A.
Akan language
chosen
Akan is a Central Tano language of the Niger-Congo family spoken primarily in Ghana, where it serves as a major lingua franca and vehicle of Akan culture.
-
B.
Akebu language
The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
-
C.
Akoko languages
The Akoko languages are a small group of closely related Niger-Congo languages spoken primarily in the Akoko region of southwestern Nigeria.
-
D.
Sango language
Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language and now used widely in government, education, and daily communication.
-
E.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde354a5881908cd3d545f7dda81c |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9a76388190a5dce756de2eb59f |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.