Triple
T15059537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hassaniya-speaking Moors |
E379587
|
entity |
| Predicate | regionOfOrigin |
P410
|
FINISHED |
| Object | Adrar region |
E1083287
|
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: Adrar region | Statement: [Hassaniya-speaking Moors, regionOfOrigin, Adrar region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrar region Context triple: [Hassaniya-speaking Moors, regionOfOrigin, Adrar region]
-
A.
Toshka
Toshka is a region in southern Egypt best known for the Toshka Lakes and large-scale desert reclamation and irrigation projects near Lake Nasser.
-
B.
Tanezrouft region
The Tanezrouft region is an extremely arid, sparsely inhabited desert area in the central Sahara, known as one of the hottest and driest places on Earth.
-
C.
Zouar
Zouar is a remote oasis town in northern Chad that serves as an important local center in the mountainous Tibesti region.
-
D.
Algerian Sahara
chosen
The Algerian Sahara is the vast desert region covering much of southern Algeria, characterized by arid landscapes, sand dunes, rocky plateaus, and sparse oasis settlements.
-
E.
Moroccan Sahara
The Moroccan Sahara is the vast desert region in southern Morocco, known for its sweeping sand dunes, arid landscapes, and traditional Berber culture.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.