Triple
T16567873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandara language |
E402508
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Malgwa dialect
The Malgwa dialect is a regional variety of the Mandara language spoken by communities in parts of northern Cameroon and neighboring areas.
|
E1221465
|
NE FINISHED |
How this triple was built (4 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: Malgwa dialect | Statement: [Mandara language, hasDialect, Malgwa dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malgwa dialect Context triple: [Mandara language, hasDialect, Malgwa dialect]
-
A.
Malwai dialect
The Malwai dialect is a regional variety of Punjabi primarily spoken in the Malwa region of the Indian state of Punjab.
-
B.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
C.
Mulgi dialect
The Mulgi dialect is a traditional regional variety of South Estonian spoken historically in the Mulgimaa area of southern Estonia.
-
D.
Nankani dialect
The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
-
E.
Werchikwar dialect
The Werchikwar dialect is a regional variety of the Burushaski language spoken by Burusho communities in parts of northern Pakistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malgwa dialect Triple: [Mandara language, hasDialect, Malgwa dialect]
Generated description
The Malgwa dialect is a regional variety of the Mandara language spoken by communities in parts of northern Cameroon and neighboring areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malgwa dialect Target entity description: The Malgwa dialect is a regional variety of the Mandara language spoken by communities in parts of northern Cameroon and neighboring areas.
-
A.
Malwai dialect
The Malwai dialect is a regional variety of Punjabi primarily spoken in the Malwa region of the Indian state of Punjab.
-
B.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
C.
Mulgi dialect
The Mulgi dialect is a traditional regional variety of South Estonian spoken historically in the Mulgimaa area of southern Estonia.
-
D.
Nankani dialect
The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
-
E.
Werchikwar dialect
The Werchikwar dialect is a regional variety of the Burushaski language spoken by Burusho communities in parts of northern Pakistan.
- F. None of above. chosen
Provenance (5 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_6a006ee3dcbc819087ea66b262585232 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006ff5bdb88190be90d7446e24b61f |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007088fd988190b3dfef081769d03e |
completed | May 10, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:16 a.m.