Triple

T9584721
Position Surface form Disambiguated ID Type / Status
Subject Oum El Bouaghi Province E231257 entity
Predicate containsCity P294 FINISHED
Object Aïn Beïda
Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
 E815898 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: Aïn Beïda | Statement: [Oum El Bouaghi Province, containsCity, Aïn Beïda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aïn Beïda
Context triple: [Oum El Bouaghi Province, containsCity, Aïn Beïda]
  • A. Aïn El Hammam
    Aïn El Hammam is a town in northern Algeria known for its mountainous Kabylie setting and Berber cultural heritage.
  • B. Aïn Abid
    Aïn Abid is a town and commune in northeastern Algeria, situated within the Constantine Province.
  • C. Aïn Bessem
    Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie region.
  • D. Aïn Laloui
    Aïn Laloui is a town and commune located in northern Algeria’s Bouira Province.
  • E. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • 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: Aïn Beïda
Triple: [Oum El Bouaghi Province, containsCity, Aïn Beïda]
Generated description
Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aïn Beïda
Target entity description: Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
  • A. Aïn El Hammam
    Aïn El Hammam is a town in northern Algeria known for its mountainous Kabylie setting and Berber cultural heritage.
  • B. Aïn Abid
    Aïn Abid is a town and commune in northeastern Algeria, situated within the Constantine Province.
  • C. Aïn Bessem
    Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie region.
  • D. Aïn Laloui
    Aïn Laloui is a town and commune located in northern Algeria’s Bouira Province.
  • E. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99d080c88190a7d3876589d7b864 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f641c3081908084a3574e20457f completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d19fdf14c08190bcfde8ffc001ef1f completed April 4, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69d1a04cd684819098408d6648c7594b completed April 4, 2026, 11:35 p.m.
Created at: March 30, 2026, 8:06 p.m.