Triple
T1598479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukuma people |
E34337
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Sukuma language
The Sukuma language is a Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
|
E181669
|
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: Sukuma language | Statement: [Sukuma people, language, Sukuma language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukuma language Context triple: [Sukuma people, language, Sukuma language]
-
A.
Tontemboan language
The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
B.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
C.
Maasai language
Maasai language is an Eastern Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania, known for its rich oral tradition and distinctive phonology.
-
D.
Sika language
The Sika language is an Austronesian language spoken by the Sika people on the island of Flores in eastern Indonesia.
-
E.
Dinka language
The Dinka language is a Western Nilotic language spoken primarily by the Dinka people of South Sudan, known for its complex system of tones and vowel lengths.
- 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: Sukuma language Triple: [Sukuma people, language, Sukuma language]
Generated description
The Sukuma language is a Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sukuma language Target entity description: The Sukuma language is a Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
-
A.
Tontemboan language
The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
B.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
C.
Maasai language
Maasai language is an Eastern Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania, known for its rich oral tradition and distinctive phonology.
-
D.
Sika language
The Sika language is an Austronesian language spoken by the Sika people on the island of Flores in eastern Indonesia.
-
E.
Dinka language
The Dinka language is a Western Nilotic language spoken primarily by the Dinka people of South Sudan, known for its complex system of tones and vowel lengths.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092f5f148190b987bc943e89e29c |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a848ec819085c82be8eaea2044 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4841d278819085507528faeaae3e |
completed | March 8, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48ff11d881909fd6e9e40d5f1f38 |
completed | March 8, 2026, 10:01 a.m. |
Created at: March 4, 2026, 7:27 p.m.