Triple
T13574676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakitia |
E324250
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Tetouan |
E153568
|
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: Tetouan | Statement: [Hakitia, region, Tetouan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tetouan Context triple: [Hakitia, region, Tetouan]
-
A.
Tétouan
chosen
Tétouan is a historic city in northern Morocco near the Mediterranean coast, known for its well-preserved Andalusian-influenced medina, a UNESCO World Heritage Site.
-
B.
Larache
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.
-
C.
Al Hoceima
Al Hoceima is a coastal city in northern Morocco on the Mediterranean, known as a major urban center of the Rif region and an important hub for the Riffian (Amazigh) population.
-
D.
Tiznit
Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
-
E.
Agadir
Agadir is a major coastal city in southwestern Morocco known for its Atlantic beaches, modern resort infrastructure, and role as a key tourist destination.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942a29b88190acefc8b3b91d849f |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:48 p.m.