Triple
T4139620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca-Settat |
E89239
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Béni Mellal-Khénifra |
E118986
|
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: Béni Mellal-Khénifra | Statement: [Casablanca-Settat, borders, Béni Mellal-Khénifra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béni Mellal-Khénifra Context triple: [Casablanca-Settat, borders, Béni Mellal-Khénifra]
-
A.
Beni Mellal
chosen
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.
-
B.
Sefrou
Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
-
C.
Khenifra
Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous landscapes.
-
D.
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.
-
E.
Sidi Bennour
Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet production.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02485a788190ba6ee769e663b2d3 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c31748c81909477e01261b5a78a |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 9, 2026, 3:43 p.m.