Triple
T10274774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nejjarine Fountain |
E240933
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Fès-Meknès |
E84155
|
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: Fès-Meknès | Statement: [Nejjarine Fountain, region, Fès-Meknès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fès-Meknès Context triple: [Nejjarine Fountain, region, Fès-Meknès]
-
A.
Fès-Meknès
chosen
Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
-
B.
Meknes
Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
-
C.
Beni Mellal-Khénifra
Beni Mellal-Khénifra is an administrative region in central Morocco known for its agricultural production, mountainous landscapes, and the city of Beni Mellal as a major urban center.
-
D.
Rabat-Salé-Kénitra
Rabat-Salé-Kénitra is an administrative region in northwestern Morocco that includes the national capital Rabat and the important cities of Salé and Kénitra.
-
E.
Marrakesh
Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28a9c508190824867c04e8dcbe7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998671c1c8190be2012a3faf6ba35 |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 11:36 a.m.