Triple
T1556358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Banda languages |
E33212
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Central Banda
Central Banda is a group of closely related Ubangian languages spoken primarily in the Central African Republic and neighboring regions.
|
E178208
|
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: Central Banda | Statement: [Central Banda languages, glottologName, Central Banda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Banda Context triple: [Central Banda languages, glottologName, Central Banda]
-
A.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
B.
Karanga
Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
-
C.
Kuanua
Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
-
D.
Waingapu
Waingapu is the main urban and economic center of the Indonesian island of Sumba, serving as a key hub for transportation and regional administration.
-
E.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
- 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: Central Banda Triple: [Central Banda languages, glottologName, Central Banda]
Generated description
Central Banda is a group of closely related Ubangian languages spoken primarily in the Central African Republic and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Central Banda Target entity description: Central Banda is a group of closely related Ubangian languages spoken primarily in the Central African Republic and neighboring regions.
-
A.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
B.
Karanga
Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
-
C.
Kuanua
Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
-
D.
Waingapu
Waingapu is the main urban and economic center of the Indonesian island of Sumba, serving as a key hub for transportation and regional administration.
-
E.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
- 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_69ad370e10248190b060a0209b979ef9 |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad3b03780881909ca372552cdc4ff3 |
completed | March 8, 2026, 9:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad3b6bbc9c8190964ad173cfca5698 |
completed | March 8, 2026, 9:03 a.m. |
Created at: March 4, 2026, 7:27 p.m.