Triple
T2180375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tashelhit |
E49027
|
entity |
| Predicate | spokenInRegion |
P7445
|
FINISHED |
| Object | Tarfaya region |
E108048
|
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: Tarfaya region | Statement: [Tashelhit, spokenInRegion, Tarfaya region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarfaya region Context triple: [Tashelhit, spokenInRegion, Tarfaya region]
-
A.
Southwestern Morocco
Southwestern Morocco is a mountainous region of Morocco that includes part of the High Atlas range and encompasses North Africa’s highest peak, Toubkal.
-
B.
Chenoua region
The Chenoua region is an area in northern Algeria known as the homeland of the Shenwa (Chenoua) Berber-speaking community.
-
C.
Ouarzazate region
The Ouarzazate region is a semi-arid area in south-central Morocco known as a gateway to the Sahara Desert and a hub for film production and solar energy projects.
-
D.
southern Morocco
chosen
Southern Morocco is a largely arid, sparsely populated region of Morocco characterized by desert landscapes, oases, and the foothills of the Atlas mountain ranges.
-
E.
Chenoua
Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbef0e2f0819080ca457fe3b8b419 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da5930c819087e71a609f76e269 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.