Triple
T14664037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atyap proper |
E344317
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Atyap language |
E344315
|
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: Atyap language | Statement: [Atyap proper, language, Atyap language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atyap language Context triple: [Atyap proper, language, Atyap language]
-
A.
Attié language
The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
-
B.
Atorada language
The Atorada language is an indigenous Arawakan language of South America, closely associated with the Wapishana people and now highly endangered or possibly extinct.
-
C.
Agatu language
The Agatu language is a Niger-Congo language spoken by the Agatu people of central Nigeria, belonging to the Idomoid branch.
-
D.
Tyap language
chosen
Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
-
E.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.