Triple
T23360454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batibo |
E593168
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Moghamo 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: Moghamo language | Statement: [Batibo, languageSpoken, Moghamo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moghamo language Context triple: [Batibo, languageSpoken, Moghamo language]
-
A.
Moghamo language
chosen
The Moghamo language is a Bantu-related Grassfields language spoken by the Moghamo people in the Northwest Region of Cameroon.
-
B.
Ngamo language
The Ngamo language is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
C.
Mamboru language
The Mamboru language is an Austronesian language spoken by a small community on Sumba Island in eastern Indonesia.
-
D.
Mossi language
The Mossi language is a major Gur language spoken primarily in Burkina Faso, serving as a key lingua franca and the mother tongue of the Mossi people.
-
E.
Mwaghavul language
The Mwaghavul language is a West Chadic language spoken primarily in Plateau State, central Nigeria, by the Mwaghavul people.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0a730f8819088fec53a43b063f8 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:30 p.m.