Triple
T16375853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ksar el-Kebir |
E397677
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Larache |
E220517
|
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: Larache | Statement: [Ksar el-Kebir, nearbyCity, Larache]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larache Context triple: [Ksar el-Kebir, nearbyCity, Larache]
-
A.
Larache
chosen
Larache is a coastal city in northwestern Morocco, situated along the Atlantic Ocean and known for its historic medina and nearby ancient Phoenician-Roman archaeological site of Lixus.
-
B.
Tiznit
Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
-
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.
Errachidia
Errachidia is a city in eastern Morocco that serves as an administrative and commercial hub for the surrounding desert and oasis regions.
-
E.
Benslimane
Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d79df8819087285b9457b7bdb6 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356406208190a9cedc1de2ab4e07 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.