Triple
T12039777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoruboid languages |
E286629
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ijesha language
The Ijesha language is a regional variety of Yoruba spoken primarily by the Ijesha people in southwestern Nigeria.
|
E962192
|
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: Ijesha language | Statement: [Yoruboid languages, hasMember, Ijesha language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ijesha language Context triple: [Yoruboid languages, hasMember, Ijesha language]
-
A.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
B.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
-
C.
Jebero language
The Jebero language is an indigenous Cahuapanan language traditionally spoken by the Jebero people in the Peruvian Amazon.
-
D.
Emai-Iuleha-Ora language
The Emai-Iuleha-Ora language is a South-Central Nigerian language spoken by related communities in Edo State and belongs to the Edoid branch of the Niger-Congo language family.
-
E.
Teke-Kukuya language
The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
- 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: Ijesha language Triple: [Yoruboid languages, hasMember, Ijesha language]
Generated description
The Ijesha language is a regional variety of Yoruba spoken primarily by the Ijesha people in southwestern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ijesha language Target entity description: The Ijesha language is a regional variety of Yoruba spoken primarily by the Ijesha people in southwestern Nigeria.
-
A.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
B.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
-
C.
Jebero language
The Jebero language is an indigenous Cahuapanan language traditionally spoken by the Jebero people in the Peruvian Amazon.
-
D.
Emai-Iuleha-Ora language
The Emai-Iuleha-Ora language is a South-Central Nigerian language spoken by related communities in Edo State and belongs to the Edoid branch of the Niger-Congo language family.
-
E.
Teke-Kukuya language
The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d9937a08190b2f606a1e55733b5 |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564ed64008190bfbeaf0991a7c2b8 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.