Triple

T9523301
Position Surface form Disambiguated ID Type / Status
Subject Aurès Mountains E229696 entity
Predicate majorTown P316 FINISHED
Object Khenchela
Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
E812571 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: Khenchela | Statement: [Aurès Mountains, majorTown, Khenchela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khenchela
Context triple: [Aurès Mountains, majorTown, Khenchela]
  • A. Tahannaout
    Tahannaout is a small town in central Morocco that serves as an administrative and market hub for the surrounding rural communities in the foothills of the High Atlas Mountains.
  • B. Bordj Okhriss
    Bordj Okhriss is a town and commune located in Bouira Province in northern Algeria.
  • C. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • D. Mostaganem
    Mostaganem is a coastal city in northwestern Algeria known historically as a strategic Mediterranean port and regional center of trade and culture.
  • E. Boulemane
    Boulemane is a town and province in northeastern Morocco known for its mountainous landscapes and location within the Middle Atlas 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: Khenchela
Triple: [Aurès Mountains, majorTown, Khenchela]
Generated description
Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khenchela
Target entity description: Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
  • A. Tahannaout
    Tahannaout is a small town in central Morocco that serves as an administrative and market hub for the surrounding rural communities in the foothills of the High Atlas Mountains.
  • B. Bordj Okhriss
    Bordj Okhriss is a town and commune located in Bouira Province in northern Algeria.
  • C. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • D. Mostaganem
    Mostaganem is a coastal city in northwestern Algeria known historically as a strategic Mediterranean port and regional center of trade and culture.
  • E. Boulemane
    Boulemane is a town and province in northeastern Morocco known for its mountainous landscapes and location within the Middle Atlas 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1820ed0c88190a91652965077755a completed April 4, 2026, 9:26 p.m.
NEDg Description generation batch_69d182ef83e881908a579b6a696ebdc3 completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d1836f1be48190a172834ce9eaafe3 completed April 4, 2026, 9:32 p.m.
Created at: March 30, 2026, 7:59 p.m.