Triple
T10247876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Njebi |
E240263
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Tsaangi
Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
|
E853703
|
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: Tsaangi | Statement: [Njebi, closelyRelatedTo, Tsaangi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsaangi Context triple: [Njebi, closelyRelatedTo, Tsaangi]
-
A.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
B.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
C.
Tonzang
Tonzang is a small, remote town in northwestern Myanmar known for its mountainous terrain and predominantly Chin ethnic population.
-
D.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
-
E.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
- 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: Tsaangi Triple: [Njebi, closelyRelatedTo, Tsaangi]
Generated description
Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsaangi Target entity description: Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
-
A.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
B.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
C.
Tonzang
Tonzang is a small, remote town in northwestern Myanmar known for its mountainous terrain and predominantly Chin ethnic population.
-
D.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
-
E.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7ade8448190830d950b7cee0c34 |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fa303d4c8190b9f1c3addf7d8b09 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6ff301d488190b18f1e02bbf1dada |
completed | April 9, 2026, 1:21 a.m. |
Created at: April 6, 2026, 11:27 a.m.