Triple
T10301689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ndzebi |
E241646
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Ndzebi |
E241646
|
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: Ndzebi | Statement: [Ndzebi, glottologName, Ndzebi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndzebi Context triple: [Ndzebi, glottologName, Ndzebi]
-
A.
Ndzebi
chosen
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
B.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
C.
Ndumbea
Ndumbea is an Oceanic language of southern New Caledonia, traditionally spoken by the indigenous Kanak people near Nouméa.
-
D.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
E.
Dzundza
Dzundza is the surname of George Dzundza, a German-American actor known for roles in films like "Crimson Tide" and the early seasons of "Law & Order."
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30716d8819085e25a78e6af3b9d |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb4f840c81909beaf910c1ac3751 |
completed | April 9, 2026, 7:17 p.m. |
Created at: April 6, 2026, 11:44 a.m.