Triple
T22966465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamoun |
E571059
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Bamun language |
—
|
NE NERFINISHED |
How this triple was built (2 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: Bamun language | Statement: [Bamoun, language, Bamun language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamun language Context triple: [Bamoun, language, Bamun language]
-
A.
Bamun language group
chosen
The Bamun language group is a subgroup of the Grassfields Bantu languages spoken primarily by the Bamun people in western Cameroon.
-
B.
Bambam language
The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
-
C.
Bitama language
The Bitama language is a lesser-known Nilo-Saharan language spoken by a subgroup of the Kunama people in the Horn of Africa.
-
D.
Mangbetu language
The Mangbetu language is a Central Sudanic language spoken by the Mangbetu people of northeastern Democratic Republic of the Congo.
-
E.
Munji language
The Munji language is an Eastern Iranian language spoken by the Munji people in Afghanistan’s remote Munjan Valley, closely related to the Yidgha language of Pakistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1822f57088190addc6857063b4cca |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:47 p.m.