Triple
T2662899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benue–Congo languages |
E54765
|
entity |
| Predicate | hasNotableLanguage |
P7390
|
FINISHED |
| Object |
Bini language
Bini language is an Edoid language of southern Nigeria, primarily spoken by the Edo (Bini) people around Benin City.
|
E286632
|
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: Bini language | Statement: [Benue–Congo languages, hasNotableLanguage, Bini language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bini language Context triple: [Benue–Congo languages, hasNotableLanguage, Bini language]
-
A.
Bintauna language
The Bintauna language is an Austronesian language spoken by the Bintauna people in North Sulawesi, Indonesia.
-
B.
Baniwa language
Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
-
C.
Bajelani language
The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
-
D.
Bongo language
The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
-
E.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
- 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: Bini language Triple: [Benue–Congo languages, hasNotableLanguage, Bini language]
Generated description
Bini language is an Edoid language of southern Nigeria, primarily spoken by the Edo (Bini) people around Benin City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bini language Target entity description: Bini language is an Edoid language of southern Nigeria, primarily spoken by the Edo (Bini) people around Benin City.
-
A.
Bintauna language
The Bintauna language is an Austronesian language spoken by the Bintauna people in North Sulawesi, Indonesia.
-
B.
Baniwa language
Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
-
C.
Bajelani language
The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
-
D.
Bongo language
The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
-
E.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96b9f1c8190a8a9460ca88a9aaf |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d9d7148190841bac9589a3815b |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99c237548190838559ccac95f1c5 |
completed | March 10, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9a5a8ee8819080d49f13e5b4eab1 |
completed | March 10, 2026, 4:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.