Triple

T12871366
Position Surface form Disambiguated ID Type / Status
Subject Northern Algeria E307856 entity
Predicate contains P35 FINISHED
Object Boumerdes
Boumerdes is a coastal city in northern Algeria known for its Mediterranean beaches, university, and role as a regional economic and administrative center.
E1031386 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: Boumerdes | Statement: [Northern Algeria, contains, Boumerdes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boumerdes
Context triple: [Northern Algeria, contains, Boumerdes]
  • A. Mostaganem
    Mostaganem is a coastal city in northwestern Algeria known historically as a strategic Mediterranean port and regional center of trade and culture.
  • B. Boujad
    Boujad is a town in central Morocco known for its traditional crafts and cultural heritage.
  • C. Bordj Okhriss
    Bordj Okhriss is a town and commune located in Bouira Province in northern Algeria.
  • D. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • E. Bouira
    Bouira is a town in northern Algeria that serves as the capital and administrative center of Bouira Province.
  • 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: Boumerdes
Triple: [Northern Algeria, contains, Boumerdes]
Generated description
Boumerdes is a coastal city in northern Algeria known for its Mediterranean beaches, university, and role as a regional economic and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boumerdes
Target entity description: Boumerdes is a coastal city in northern Algeria known for its Mediterranean beaches, university, and role as a regional economic and administrative center.
  • A. Mostaganem
    Mostaganem is a coastal city in northwestern Algeria known historically as a strategic Mediterranean port and regional center of trade and culture.
  • B. Boujad
    Boujad is a town in central Morocco known for its traditional crafts and cultural heritage.
  • C. Bordj Okhriss
    Bordj Okhriss is a town and commune located in Bouira Province in northern Algeria.
  • D. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • E. Bouira
    Bouira is a town in northern Algeria that serves as the capital and administrative center of Bouira Province.
  • 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_69f70a1a97748190992fe28c6411c4de completed May 3, 2026, 8:40 a.m.
NEDg Description generation batch_69f70aec0e4481909f6ea77136f2e970 completed May 3, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69f70bcb8b60819087afe37a3919d26b completed May 3, 2026, 8:48 a.m.
Created at: April 9, 2026, 5:38 p.m.