Triple
T16567964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gude |
E402510
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Mandara |
E402508
|
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: Mandara | Statement: [Gude, neighboringLanguages, Mandara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandara Context triple: [Gude, neighboringLanguages, Mandara]
-
A.
Mandara
chosen
Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
-
B.
Mandara Mountains
The Mandara Mountains are a volcanic mountain range along the northern Cameroon–Nigeria border, known for their rugged terrain, traditional villages, and cultural diversity.
-
C.
Mandara-yu
Mandara-yu is a traditional public hot spring bathhouse located in the historic Kinosaki Onsen resort town in Japan.
-
D.
Sangotedo
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
-
E.
Biu–Mandara
Biu–Mandara is a major branch of the Chadic language family spoken primarily in parts of Nigeria, Cameroon, and Chad.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2590d48190b72b7d5be20c14c7 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:16 a.m.