Triple
T6548199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan language |
E151062
|
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 language, closelyRelatedTo, Anyin language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anyin language Context triple: [Akan language, 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.
Äynu language
The Äynu language is a rare mixed Turkic–Iranian language spoken primarily by the Äynu ethnic minority in Xinjiang, China.
-
C.
Kavalan language
The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
-
D.
Anywa language
Anywa language is a Nilotic language spoken primarily by the Anyuak people in South Sudan and western Ethiopia.
-
E.
Aaniiih language
The Aaniiih language is an Algonquian language traditionally spoken by the Aaniiih (Gros Ventre) people of the northern Plains in the United States and is currently endangered.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf132a88190af4553857a474ebd |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54e11fc81909aa135d7c0f2c193 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:51 p.m.