Triple
T12138392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idomoid languages |
E289119
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Akweya language
Akweya language is a Niger-Congo language spoken by the Akweya people of central Nigeria and classified within the Idomoid branch.
|
E990301
|
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: Akweya language | Statement: [Idomoid languages, hasMember, Akweya language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akweya language Context triple: [Idomoid languages, hasMember, Akweya language]
-
A.
Ikare-Akoko language
The Ikare-Akoko language is a Yoruboid language variety spoken primarily in and around the town of Ikare-Akoko in southwestern Nigeria.
-
B.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
C.
Okpamheri language
The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
-
D.
Awetí language
The Awetí language is an indigenous Tupian language spoken by the Awetí people of Brazil’s Xingu region.
-
E.
Kugbo language
The Kugbo language is a lesser-known Niger-Congo language spoken by the Kugbo people of the Niger Delta region in southern Nigeria.
- 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: Akweya language Triple: [Idomoid languages, hasMember, Akweya language]
Generated description
Akweya language is a Niger-Congo language spoken by the Akweya people of central Nigeria and classified within the Idomoid branch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akweya language Target entity description: Akweya language is a Niger-Congo language spoken by the Akweya people of central Nigeria and classified within the Idomoid branch.
-
A.
Ikare-Akoko language
The Ikare-Akoko language is a Yoruboid language variety spoken primarily in and around the town of Ikare-Akoko in southwestern Nigeria.
-
B.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
C.
Okpamheri language
The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
-
D.
Awetí language
The Awetí language is an indigenous Tupian language spoken by the Awetí people of Brazil’s Xingu region.
-
E.
Kugbo language
The Kugbo language is a lesser-known Niger-Congo language spoken by the Kugbo people of the Niger Delta region in southern Nigeria.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65556e718819092736cd89c326fb5 |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f656d02afc81909712182034bec255 |
completed | May 2, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657ea0c6c8190992a0101904e92f2 |
completed | May 2, 2026, 8 p.m. |
Created at: April 8, 2026, 9:49 p.m.