Triple
T11993923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moroccan Sahara |
E285479
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Merzouga |
E484162
|
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: Merzouga | Statement: [Moroccan Sahara, hasTown, Merzouga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merzouga Context triple: [Moroccan Sahara, hasTown, Merzouga]
-
A.
Merzouga
chosen
Merzouga is a small desert village in southeastern Morocco, famous as a gateway to the Erg Chebbi sand dunes and popular for Sahara desert tourism.
-
B.
Témara
Témara is a coastal city in northwestern Morocco, situated just south of the capital Rabat and known as a growing residential and industrial suburb in the Rabat metropolitan area.
-
C.
Tinghir
Tinghir is a town in southeastern Morocco known for its palm oasis and proximity to the dramatic Todra Gorge in the Atlas Mountains.
-
D.
Ouarzazate
Ouarzazate is a city in south-central Morocco known as a gateway to the Sahara Desert and a major hub for film production and desert tourism.
-
E.
Dakhla
Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e391d7c8190a414cb3306bfe139 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:46 p.m.