Triple
T12225873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekpeye |
E291350
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Ekpeye language
Ekpeye language is a Niger-Congo language spoken by the Ekpeye people of Rivers State in southern Nigeria.
|
E972785
|
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: Ekpeye language | Statement: [Ekpeye, language, Ekpeye language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekpeye language Context triple: [Ekpeye, language, Ekpeye language]
-
A.
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.
-
B.
Nupe language
The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
-
C.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
D.
Keapara language
The Keapara language is an Austronesian language of coastal Papua New Guinea spoken by the Keapara people in Central Province.
-
E.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
- 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: Ekpeye language Triple: [Ekpeye, language, Ekpeye language]
Generated description
Ekpeye language is a Niger-Congo language spoken by the Ekpeye people of Rivers State in southern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ekpeye language Target entity description: Ekpeye language is a Niger-Congo language spoken by the Ekpeye people of Rivers State in southern Nigeria.
-
A.
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.
-
B.
Nupe language
The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
-
C.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
D.
Keapara language
The Keapara language is an Austronesian language of coastal Papua New Guinea spoken by the Keapara people in Central Province.
-
E.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa9023881909f8373e02d2cad4b |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f61a13fd1481908a06ca65b276e0e1 |
completed | May 2, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f61ad2bd0c8190ada37bc1f8ae160f |
completed | May 2, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:51 p.m.