Triple
T10348539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachelhit |
E243817
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Marrakesh Tachelhit |
E49027
|
NE FINISHED |
How this triple was built (2 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: Marrakesh Tachelhit | Statement: [Tachelhit, hasDialects, Marrakesh Tachelhit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marrakesh Tachelhit Context triple: [Tachelhit, hasDialects, Marrakesh Tachelhit]
-
A.
Tashelhit
chosen
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
B.
Tamazgha
Tamazgha is the name used by many Amazigh (Berber) people for the broader North African homeland where their communities and cultures are rooted.
-
C.
Moroccan
Moroccan refers to a person or thing originating from Morocco, a North African country known for its diverse Arab, Berber, and African cultural heritage.
-
D.
Souss dialect
Souss dialect is a regional variety of the Tashelhit (Shilha) Berber language spoken primarily in Morocco’s Souss region.
-
E.
Marrakesh-Safi
Marrakesh-Safi is an administrative region in central-western Morocco known for the historic city of Marrakesh and its Atlantic coastline around Safi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e945d51881908dd2af6c78344c9b |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7508e325c8190a88c2b972f8a6846 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:56 a.m.