Triple
T2327006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Morocco |
E48309
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Marrakesh |
E24526
|
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: Marrakesh | Statement: [French Morocco, includesCity, Marrakesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marrakesh Context triple: [French Morocco, includesCity, Marrakesh]
-
A.
Marrakesh
chosen
Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
-
B.
Beni Mellal
Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
-
C.
Fès-Meknès
Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
-
D.
Rabat
Rabat is the capital city of Morocco, located on the Atlantic coast and known for its historic medina, coastal fortifications, and role as a political and administrative center.
-
E.
Kenitra
Kenitra is a port city in northwestern Morocco, located on the Sebou River and known as an important industrial and transportation hub near the Atlantic coast.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64c7f1881909b0d847f7782e803 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432e588308190bd331d7b8776e546 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 4, 2026, 7:50 p.m.