Triple
T12835325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boki |
E306894
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Boki language
The Boki language is a Bendi language spoken by the Boki people of southeastern Nigeria, primarily in Cross River State.
|
E1005110
|
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: Boki language | Statement: [Boki, hasLanguage, Boki language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boki language Context triple: [Boki, hasLanguage, Boki language]
-
A.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
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.
Baka language
The Baka language is a Central African language spoken primarily by the Baka Pygmy communities in parts of Cameroon, Gabon, and the Republic of the Congo.
-
D.
Batui language
The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
-
E.
Buyi language
The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
- 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: Boki language Triple: [Boki, hasLanguage, Boki language]
Generated description
The Boki language is a Bendi language spoken by the Boki people of southeastern Nigeria, primarily in Cross River State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boki language Target entity description: The Boki language is a Bendi language spoken by the Boki people of southeastern Nigeria, primarily in Cross River State.
-
A.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
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.
Baka language
The Baka language is a Central African language spoken primarily by the Baka Pygmy communities in parts of Cameroon, Gabon, and the Republic of the Congo.
-
D.
Batui language
The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
-
E.
Buyi language
The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edaa6288190a775f6e852fa941b |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f6900385548190befe667dc4e33af9 |
completed | May 3, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69f690c0bd208190bd1f04a9640ad1ce |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 9, 2026, 5:34 p.m.