Triple
T11093571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara languages |
E262315
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Zande languages |
E272630
|
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: Zande languages | Statement: [Sara languages, hasMember, Zande languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zande languages Context triple: [Sara languages, hasMember, Zande languages]
-
A.
Zande language
chosen
The Zande language is a Central African language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
-
B.
Ngemba languages
The Ngemba languages are a group of closely related Bantoid languages spoken primarily in the Grassfields region of Cameroon.
-
C.
Tsogo languages
The Tsogo languages are a small group of closely related Bantu languages spoken primarily in Gabon in Central Africa.
-
D.
Teke–Mbede languages
The Teke–Mbede languages are a group of closely related Bantu languages spoken primarily in Gabon and neighboring Central African countries.
-
E.
Grassfields languages
Grassfields languages are a group of closely related Southern Bantoid languages spoken primarily in the Grassfields region of western Cameroon.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441bb14d08190ac01bf3daa34ae43 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.