Triple

T32838481
Position Surface form Disambiguated ID Type / Status
Subject مفدي زكريا E839899 entity
Predicate منطقة P2160 FINISHED
Object وادي ميزاب
وادي ميزاب منطقة صحراوية تاريخية في شمال الصحراء الجزائرية تشتهر بمدنها الإباضية العتيقة وعمارتها التقليدية المصنفة ضمن التراث العالمي لليونسكو.
 E2025358 NE FINISHED

How this triple was built (3 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: وادي ميزاب | Statement: [مفدي زكريا, منطقة, وادي ميزاب]
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: وادي ميزاب
Triple: [مفدي زكريا, منطقة, وادي ميزاب]
Generated description
وادي ميزاب منطقة صحراوية تاريخية في شمال الصحراء الجزائرية تشتهر بمدنها الإباضية العتيقة وعمارتها التقليدية المصنفة ضمن التراث العالمي لليونسكو.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: منطقة
Context triple: [مفدي زكريا, منطقة, وادي ميزاب]
  • A. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
  • B. missionRegion
    Indicates the geographic or administrative region in which a mission is carried out or assigned.
  • C. zone chosen
    Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
  • D. arealRegion
    Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
  • E. regionOfCity
    Indicates that a specified area or district is a constituent part or subdivision of a particular city.
  • F. None of above.

Provenance (6 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_69f3493ff0888190b51e974eae2a7834 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bcfc2dcc8190bbb335eaee0808ff completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34bdc35a24819088892cb8a675a225 completed June 19, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a34be70321c819081172de0a1c44700 completed June 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:16 a.m.