Triple

T4049786
Position Surface form Disambiguated ID Type / Status
Subject Fès-Meknès E84155 entity
Predicate contains P35 FINISHED
Object Sefrou
Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
 E446157 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: Sefrou | Statement: [Fès-Meknès, contains, Sefrou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sefrou
Context triple: [Fès-Meknès, contains, Sefrou]
  • A. Azrou
    Azrou is a small Moroccan town in the Middle Atlas mountains, known for its cedar forests, Berber culture, and nearby Barbary macaque populations.
  • B. Oujda
    Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
  • C. Taounate
    Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous region.
  • D. Khenifra
    Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous landscapes.
  • E. Meknes
    Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
  • 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: Sefrou
Triple: [Fès-Meknès, contains, Sefrou]
Generated description
Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sefrou
Target entity description: Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
  • A. Azrou
    Azrou is a small Moroccan town in the Middle Atlas mountains, known for its cedar forests, Berber culture, and nearby Barbary macaque populations.
  • B. Oujda
    Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
  • C. Taounate
    Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous region.
  • D. Khenifra
    Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous landscapes.
  • E. Meknes
    Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8413848190992e4b5f3b29b43c completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd678c2c088190a67867248f89c46a completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd683417b08190bc4e08638a30c0ec completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b4681c8190abb170ccb054cd05 completed March 20, 2026, 3:33 p.m.
Created at: March 9, 2026, 3:37 p.m.