Triple

T6985292
Position Surface form Disambiguated ID Type / Status
Subject Tizi Ouzou Province E161945 entity
Predicate hasCity P316 FINISHED
Object Azeffoun
Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
E635083 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: Azeffoun | Statement: [Tizi Ouzou Province, hasCity, Azeffoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azeffoun
Context triple: [Tizi Ouzou Province, hasCity, Azeffoun]
  • A. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • B. Aoulouz
    Aoulouz is a small town located in the Souss-Massa region of southern Morocco, known for its agricultural surroundings and position along regional travel routes.
  • C. Ouezzane
    Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
  • D. Youssoufia
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • E. Mansourr
    Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • 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: Azeffoun
Triple: [Tizi Ouzou Province, hasCity, Azeffoun]
Generated description
Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Azeffoun
Target entity description: Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • A. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • B. Aoulouz
    Aoulouz is a small town located in the Souss-Massa region of southern Morocco, known for its agricultural surroundings and position along regional travel routes.
  • C. Ouezzane
    Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
  • D. Youssoufia
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • E. Mansourr
    Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db91fbc881908c26b7b991995062 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a110ca08190be2aa78948379495 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76ad455e08190b652f0b4d9ca7c62 completed March 28, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69c76b992414819094cad40df720e39a completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:31 p.m.