Triple
T7053064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shilha people |
E164015
|
entity |
| Predicate | culturalRegion |
P1968
|
FINISHED |
| Object |
Tamazgha
Tamazgha is the name used by many Amazigh (Berber) people for the broader North African homeland where their communities and cultures are rooted.
|
E638101
|
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: Tamazgha | Statement: [Shilha people, culturalRegion, Tamazgha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamazgha Context triple: [Shilha people, culturalRegion, Tamazgha]
-
A.
Amazigh
Amazigh are the Indigenous Berber peoples of North Africa, known for their distinct languages, culture, and historical presence across the Maghreb and Sahara regions.
-
B.
Kabyle
Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
-
C.
Riffian Berber
Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
D.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
E.
Tamazight
Tamazight is a branch of the Berber (Amazigh) languages of North Africa, encompassing several closely related varieties spoken across countries such as Morocco and Algeria.
- 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: Tamazgha Triple: [Shilha people, culturalRegion, Tamazgha]
Generated description
Tamazgha is the name used by many Amazigh (Berber) people for the broader North African homeland where their communities and cultures are rooted.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamazgha Target entity description: Tamazgha is the name used by many Amazigh (Berber) people for the broader North African homeland where their communities and cultures are rooted.
-
A.
Amazigh
Amazigh are the Indigenous Berber peoples of North Africa, known for their distinct languages, culture, and historical presence across the Maghreb and Sahara regions.
-
B.
Kabyle
Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
-
C.
Riffian Berber
Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
D.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
E.
Tamazight
Tamazight is a branch of the Berber (Amazigh) languages of North Africa, encompassing several closely related varieties spoken across countries such as Morocco and Algeria.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2515bb48190ac0efed0dd4252ad |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788980b50819085473407a176e04b |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c78905c75c81908bee9a9000e05bd6 |
completed | March 28, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789ecb50c8190b67bc1152b33d1eb |
completed | March 28, 2026, 7:57 a.m. |
Created at: March 27, 2026, 2:37 p.m.