Triple

T21597796
Position Surface form Disambiguated ID Type / Status
Subject Algerian Civil War E532948 entity
Predicate location P40 FINISHED
Object Bentalha
Bentalha is a suburb of Algiers in northern Algeria, historically known as the site of a notorious massacre during the Algerian Civil War in the late 1990s.
 E1492405 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: Bentalha | Statement: [Algerian Civil War, location, Bentalha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bentalha
Context triple: [Algerian Civil War, location, Bentalha]
  • A. Bhamdoun
    Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • B. Kharbouch
    Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
  • C. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • D. Bou Hajla
    Bou Hajla is a town in central Tunisia known for its agricultural activities and its location within the Kairouan region.
  • E. El Khabouzia
    El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
  • 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: Bentalha
Triple: [Algerian Civil War, location, Bentalha]
Generated description
Bentalha is a suburb of Algiers in northern Algeria, historically known as the site of a notorious massacre during the Algerian Civil War in the late 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bentalha
Target entity description: Bentalha is a suburb of Algiers in northern Algeria, historically known as the site of a notorious massacre during the Algerian Civil War in the late 1990s.
  • A. Bhamdoun
    Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • B. Kharbouch
    Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
  • C. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • D. Bou Hajla
    Bou Hajla is a town in central Tunisia known for its agricultural activities and its location within the Kairouan region.
  • E. El Khabouzia
    El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae2fc908190b989f39e8cefffb2 completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd311894819091add0ade2c10c78 completed May 17, 2026, 5:38 p.m.
NEDg Description generation batch_6a09fe084a648190a37d701fb7f2f285 completed May 17, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09fecd7d688190b41ad68ff95ffab6 completed May 17, 2026, 5:45 p.m.
Created at: April 16, 2026, 6:32 p.m.