Triple
T11303081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabye language |
E267643
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Tem language
Tem is a Gur language of the Niger-Congo family spoken primarily in Togo and neighboring West African countries.
|
E916961
|
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: Tem language | Statement: [Kabye language, closelyRelatedTo, Tem language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tem language Context triple: [Kabye language, closelyRelatedTo, Tem language]
-
A.
Temein languages
The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
-
B.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
C.
Tese language
Tese is a lesser-known Kadu (Kadugli) language spoken by an ethnic minority community in the Nuba Mountains region of Sudan.
-
D.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
-
E.
Ao language
Ao language is a Sino-Tibetan language spoken primarily by the Ao Naga people in Nagaland, India.
- 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: Tem language Triple: [Kabye language, closelyRelatedTo, Tem language]
Generated description
Tem is a Gur language of the Niger-Congo family spoken primarily in Togo and neighboring West African countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tem language Target entity description: Tem is a Gur language of the Niger-Congo family spoken primarily in Togo and neighboring West African countries.
-
A.
Temein languages
The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
-
B.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
C.
Tese language
Tese is a lesser-known Kadu (Kadugli) language spoken by an ethnic minority community in the Nuba Mountains region of Sudan.
-
D.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
-
E.
Ao language
Ao language is a Sino-Tibetan language spoken primarily by the Ao Naga people in Nagaland, India.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510f9edb4819097e9fa1ce85504ed |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.