Triple
T16617513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beti-Fang cluster |
E403731
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Bafia languages |
E982519
|
NE FINISHED |
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: Bafia languages | Statement: [Beti-Fang cluster, closelyRelatedTo, Bafia languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bafia languages Context triple: [Beti-Fang cluster, closelyRelatedTo, Bafia languages]
-
A.
Bafia language
chosen
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
B.
Thura-Yura languages
Thura-Yura languages are a group of closely related Australian Aboriginal languages traditionally spoken in parts of South Australia.
-
C.
Beti-Fang languages
Beti-Fang languages are a cluster of closely related Bantu languages spoken primarily in Cameroon, Equatorial Guinea, and Gabon by Beti and Fang peoples.
-
D.
Wintuan languages
Wintuan languages are a small family of Native American languages historically spoken in northern California, often grouped within the proposed Penutian phylum.
-
E.
Zanian languages
Zanian languages are a small group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daef18481908c3628a3466300ce |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.