Triple
T896545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Atlas |
E19358
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Azrou
Azrou is a small Moroccan town in the Middle Atlas mountains, known for its cedar forests, Berber culture, and nearby Barbary macaque populations.
|
E116852
|
NE FINISHED |
How this triple was built (4 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: Azrou | Statement: [Middle Atlas, containsCity, Azrou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azrou Context triple: [Middle Atlas, containsCity, Azrou]
-
A.
Laayoune
Laayoune is the largest city and de facto administrative center of Western Sahara, located in the northwest of the disputed territory near the Atlantic coast.
-
B.
Meknes
Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
-
C.
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.
-
D.
Fès-Meknès
Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
-
E.
Salé
Salé is a historic coastal city in northwestern Morocco, situated across the Bou Regreg River from the capital, Rabat.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azrou Triple: [Middle Atlas, containsCity, Azrou]
Generated description
Azrou is a small Moroccan town in the Middle Atlas mountains, known for its cedar forests, Berber culture, and nearby Barbary macaque populations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azrou Target entity description: Azrou is a small Moroccan town in the Middle Atlas mountains, known for its cedar forests, Berber culture, and nearby Barbary macaque populations.
-
A.
Laayoune
Laayoune is the largest city and de facto administrative center of Western Sahara, located in the northwest of the disputed territory near the Atlantic coast.
-
B.
Meknes
Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
-
C.
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.
-
D.
Fès-Meknès
Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
-
E.
Salé
Salé is a historic coastal city in northwestern Morocco, situated across the Bou Regreg River from the capital, Rabat.
- F. None of above. chosen
Provenance (5 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad2550c88190a624eb5627d472ad |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac257f3b2c819082a16c7242d89404 |
completed | March 7, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_69ac25e6cc608190a717c7991936c3a5 |
completed | March 7, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac264b6bc08190a18c4f61ea6eb0f4 |
completed | March 7, 2026, 1:21 p.m. |
Created at: March 1, 2026, 7:39 p.m.