Triple
T2811998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan |
E54191
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Anyin language |
E155046
|
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: Anyin language | Statement: [Akan, closelyRelatedTo, Anyin language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anyin language Context triple: [Akan, closelyRelatedTo, Anyin language]
-
A.
Anyin language
chosen
The Anyin language is a Niger-Congo language spoken primarily in Côte d'Ivoire and Ghana by the Anyin people, closely related to Baoulé and other Central Tano languages.
-
B.
Kavalan language
The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
-
C.
Anywa language
Anywa language is a Nilotic language spoken primarily by the Anyuak people in South Sudan and western Ethiopia.
-
D.
Anii language
The Anii language is a Niger-Congo language spoken primarily in parts of Benin and Togo in West Africa.
-
E.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
- 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.