Triple
T20834711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mijikenda peoples |
E512928
|
entity |
| Predicate | traditionalLanguage |
P6149
|
FINISHED |
| Object |
Kambe language
The Kambe language is a Bantu language spoken by the Mijikenda people along the coast of Kenya.
|
E1452018
|
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: Kambe language | Statement: [Mijikenda peoples, traditionalLanguage, Kambe language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kambe language Context triple: [Mijikenda peoples, traditionalLanguage, Kambe language]
-
A.
Kanembu language
The Kanembu language is a Saharan language spoken primarily in Chad by the Kanembu people, closely related to the Tebu languages and used historically in the Kanem-Bornu Empire.
-
B.
Kam language
Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
-
C.
Kamda language
The Kamda language is a lesser-known Kadu (also called Kado or Kaduic) language spoken by an ethnic minority community in Myanmar (Burma).
-
D.
Kamayurá language
The Kamayurá language is an indigenous Tupian language spoken by the Kamayurá people of Brazil’s Upper Xingu region in the Amazon.
-
E.
Kamang language
The Kamang language is a Papuan language spoken by communities on the Alor archipelago in eastern Indonesia.
- 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: Kambe language Triple: [Mijikenda peoples, traditionalLanguage, Kambe language]
Generated description
The Kambe language is a Bantu language spoken by the Mijikenda people along the coast of Kenya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kambe language Target entity description: The Kambe language is a Bantu language spoken by the Mijikenda people along the coast of Kenya.
-
A.
Kanembu language
The Kanembu language is a Saharan language spoken primarily in Chad by the Kanembu people, closely related to the Tebu languages and used historically in the Kanem-Bornu Empire.
-
B.
Kam language
Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
-
C.
Kamda language
The Kamda language is a lesser-known Kadu (also called Kado or Kaduic) language spoken by an ethnic minority community in Myanmar (Burma).
-
D.
Kamayurá language
The Kamayurá language is an indigenous Tupian language spoken by the Kamayurá people of Brazil’s Upper Xingu region in the Amazon.
-
E.
Kamang language
The Kamang language is a Papuan language spoken by communities on the Alor archipelago in eastern Indonesia.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32622c481908b8d2159bd5bb0ad |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090084a1c481909a344ee40d846b10 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0900fd590c8190b42faa5c5191189a |
completed | May 16, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901950c1c8190befa72dc20236b9e |
completed | May 16, 2026, 11:45 p.m. |
Created at: April 16, 2026, 12:42 p.m.