Triple
T1556345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Banda languages |
E33212
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Banda-Langbas language
The Banda-Langbas language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic.
|
E190841
|
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: Banda-Langbas language | Statement: [Central Banda languages, hasMember, Banda-Langbas language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banda-Langbas language Context triple: [Central Banda languages, hasMember, Banda-Langbas language]
-
A.
Banda-Linda language
The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
-
B.
Banda-Kpagua language
The Banda-Kpagua language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic and neighboring regions.
-
C.
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.
-
D.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
E.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
- 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: Banda-Langbas language Triple: [Central Banda languages, hasMember, Banda-Langbas language]
Generated description
The Banda-Langbas language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banda-Langbas language Target entity description: The Banda-Langbas language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic.
-
A.
Banda-Linda language
The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
-
B.
Banda-Kpagua language
The Banda-Kpagua language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic and neighboring regions.
-
C.
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.
-
D.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
E.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908704d208190937af41c6454df4e |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad797907ac81908ede43626798827d |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7a1223fc8190b7d62217c17f7517 |
completed | March 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b0787c88190a59a815fa808ac6b |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:27 p.m.