Triple

T12871371
Position Surface form Disambiguated ID Type / Status
Subject Northern Algeria E307856 entity
Predicate contains P35 FINISHED
Object Relizane
Relizane is a city in northwestern Algeria that serves as the capital of Relizane Province and an important regional agricultural and commercial center.
 E1010157 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: Relizane | Statement: [Northern Algeria, contains, Relizane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Relizane
Context triple: [Northern Algeria, contains, Relizane]
  • A. Thazi
    Thazi is a town in Myanmar’s Mandalay Region that serves as a local transport and railway junction near Meiktila.
  • B. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • C. Lisala
    Lisala is a town in northwestern Democratic Republic of the Congo, situated on the Congo River and serving as the capital of Mongala Province.
  • D. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • E. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • 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: Relizane
Triple: [Northern Algeria, contains, Relizane]
Generated description
Relizane is a city in northwestern Algeria that serves as the capital of Relizane Province and an important regional agricultural and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Relizane
Target entity description: Relizane is a city in northwestern Algeria that serves as the capital of Relizane Province and an important regional agricultural and commercial center.
  • A. Thazi
    Thazi is a town in Myanmar’s Mandalay Region that serves as a local transport and railway junction near Meiktila.
  • B. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • C. Lisala
    Lisala is a town in northwestern Democratic Republic of the Congo, situated on the Congo River and serving as the capital of Mongala Province.
  • D. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • E. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a772f3248190b18a2bda51ef4b65 completed May 3, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_69f6a869e1908190bdc34fbadd226282 completed May 3, 2026, 1:44 a.m.
Created at: April 9, 2026, 5:38 p.m.