Triple
T1765451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Men of the Sahara |
E38751
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Tamasheq
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
|
E203666
|
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: Tamasheq | Statement: [Blue Men of the Sahara, language, Tamasheq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamasheq Context triple: [Blue Men of the Sahara, language, Tamasheq]
-
A.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
B.
Badaga language
Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
-
C.
Kanuri
The Kanuri are a major ethnic group of the central Sahara and Lake Chad region, historically associated with the Kanem-Bornu Empire and known for their distinct language and Islamic cultural heritage.
-
D.
Bambara
Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
-
E.
Dioula
Dioula is a Mande language of West Africa, widely used as a trade and lingua franca language in countries like Burkina Faso, Côte d’Ivoire, and Mali.
- 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: Tamasheq Triple: [Blue Men of the Sahara, language, Tamasheq]
Generated description
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamasheq Target entity description: Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
-
A.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
B.
Badaga language
Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
-
C.
Kanuri
The Kanuri are a major ethnic group of the central Sahara and Lake Chad region, historically associated with the Kanem-Bornu Empire and known for their distinct language and Islamic cultural heritage.
-
D.
Bambara
Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
-
E.
Dioula
Dioula is a Mande language of West Africa, widely used as a trade and lingua franca language in countries like Burkina Faso, Côte d’Ivoire, and Mali.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4db1c48190a96f137db3e2f32c |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc0a3fdd88190b0ffa98db1b5cf80 |
completed | March 8, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc12c894881909c9a82fc9e363a41 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 4, 2026, 7:31 p.m.