Triple

T15751545
Position Surface form Disambiguated ID Type / Status
Subject Andørja E381857 entity
Predicate hasSettlement P1068 FINISHED
Object Engenes
Engenes is a small coastal village on the island of Andørja in northern Norway, known for its fishing and scenic fjord landscape.
 E1175962 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: Engenes | Statement: [Andørja, hasSettlement, Engenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engenes
Context triple: [Andørja, hasSettlement, Engenes]
  • A. Geno
    Geno is a young male deer character from Disney's Bambi franchise, depicted as the son of Bambi and Faline.
  • B. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Segeneiti
    Segeneiti is a town in southern Eritrea known for its agricultural surroundings and role as a local commercial center.
  • E. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • 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: Engenes
Triple: [Andørja, hasSettlement, Engenes]
Generated description
Engenes is a small coastal village on the island of Andørja in northern Norway, known for its fishing and scenic fjord landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engenes
Target entity description: Engenes is a small coastal village on the island of Andørja in northern Norway, known for its fishing and scenic fjord landscape.
  • A. Geno
    Geno is a young male deer character from Disney's Bambi franchise, depicted as the son of Bambi and Faline.
  • B. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Segeneiti
    Segeneiti is a town in southern Eritrea known for its agricultural surroundings and role as a local commercial center.
  • E. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.