Triple
T14558402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jos North |
E341601
|
entity |
| Predicate | hasCommonLanguage |
P741
|
FINISHED |
| Object |
Afizere language
The Afizere language is a Plateau language spoken primarily by the Afizere (Jarawa) people in and around Jos in Plateau State, central Nigeria.
|
E1107386
|
NE FINISHED |
How this triple was built (4 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: Afizere language | Statement: [Jos North, hasCommonLanguage, Afizere language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afizere language Context triple: [Jos North, hasCommonLanguage, Afizere language]
-
A.
Bafut language
The Bafut language is a Grassfields Bantu language spoken primarily by the Bafut people in the Northwest Region of Cameroon.
-
B.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
C.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
D.
Ijesha language
The Ijesha language is a regional variety of Yoruba spoken primarily by the Ijesha people in southwestern Nigeria.
-
E.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Afizere language Triple: [Jos North, hasCommonLanguage, Afizere language]
Generated description
The Afizere language is a Plateau language spoken primarily by the Afizere (Jarawa) people in and around Jos in Plateau State, central Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afizere language Target entity description: The Afizere language is a Plateau language spoken primarily by the Afizere (Jarawa) people in and around Jos in Plateau State, central Nigeria.
-
A.
Bafut language
The Bafut language is a Grassfields Bantu language spoken primarily by the Bafut people in the Northwest Region of Cameroon.
-
B.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
C.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
D.
Ijesha language
The Ijesha language is a regional variety of Yoruba spoken primarily by the Ijesha people in southwestern Nigeria.
-
E.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
- F. None of above. chosen
Provenance (5 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b2989288190812565b3b59ad1fc |
completed | May 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8db224948190ac797626aa0c38ec |
completed | May 8, 2026, 7:16 a.m. |
Created at: April 10, 2026, 1:23 a.m.