Triple

T21218594
Position Surface form Disambiguated ID Type / Status
Subject Tromøya E522902 entity
Predicate hasSettlement P1068 FINISHED
Object Hove
Hove is a coastal village on the island of Tromøya in Arendal Municipality, Agder county, Norway, known for its scenic beaches and outdoor recreation areas.
E1471309 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: Hove | Statement: [Tromøya, hasSettlement, Hove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hove
Context triple: [Tromøya, hasSettlement, Hove]
  • A. Hove
    Hove is a small, affluent municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
  • B. Hove
    Hove is a coastal town in East Sussex, England, forming part of the city of Brighton and Hove on the south coast.
  • C. Worthing
    Worthing is a small city in Lincoln County, South Dakota, known as a residential community within the Sioux Falls metropolitan area.
  • D. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • E. Brighton and Hove
    Brighton and Hove is a coastal city in East Sussex, England, known for its vibrant cultural scene, seaside tourism, and iconic Brighton Pier.
  • 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: Hove
Triple: [Tromøya, hasSettlement, Hove]
Generated description
Hove is a coastal village on the island of Tromøya in Arendal Municipality, Agder county, Norway, known for its scenic beaches and outdoor recreation areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hove
Target entity description: Hove is a coastal village on the island of Tromøya in Arendal Municipality, Agder county, Norway, known for its scenic beaches and outdoor recreation areas.
  • A. Hove
    Hove is a coastal town in East Sussex, England, forming part of the city of Brighton and Hove on the south coast.
  • B. Hove
    Hove is a small, affluent municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
  • C. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • D. Worthing
    Worthing is a small city in Lincoln County, South Dakota, known as a residential community within the Sioux Falls metropolitan area.
  • E. Brighton and Hove
    Brighton and Hove is a coastal city in East Sussex, England, known for its vibrant cultural scene, seaside tourism, and iconic Brighton Pier.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097edb6de4819094cf7a50670afdfa completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f5016348190aeb01856a5c57b41 completed May 17, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a097fe399048190a1b29f16d8e46d8d completed May 17, 2026, 8:44 a.m.
Created at: April 16, 2026, 3:42 p.m.