Triple
T4959281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Souss-Massa |
E111363
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tafraout |
E114377
|
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: Tafraout | Statement: [Souss-Massa, containsCity, Tafraout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tafraout Context triple: [Souss-Massa, containsCity, Tafraout]
-
A.
Tafraoute
chosen
Tafraoute is a small, picturesque town in southern Morocco known for its dramatic granite rock formations, traditional Berber culture, and location in the heart of the Anti-Atlas mountains.
-
B.
Sidi Ifni
Sidi Ifni is a small coastal city in southwestern Morocco known for its Spanish colonial heritage, Atlantic beaches, and distinctive Art Deco architecture.
-
C.
Guelmim
Guelmim is a city in southern Morocco known as a gateway to the Sahara and a regional center for Saharan trade and culture.
-
D.
Tiznit
Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
-
E.
Taroudant
Taroudant is a historic walled city in southern Morocco, often called the "Grandmother of Marrakech" for its similar architecture and traditional markets.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d957cc8190b82fdd1ca61924bf |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc0140a548190a9fb54c267622fb1 |
completed | March 22, 2026, 10:10 a.m. |
Created at: March 20, 2026, 1:32 p.m.