Triple

T7620366
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Antwerp E172475 entity
Predicate contains P35 FINISHED
Object Hove
Hove is a small, affluent municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
 E676440 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: [Arrondissement of Antwerp, contains, Hove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hove
Context triple: [Arrondissement of Antwerp, contains, Hove]
  • 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. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • C. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • D. Eastbourne
    Eastbourne is a seaside town and popular coastal resort on England’s south coast, known for its Victorian architecture, long promenade, and proximity to the chalk cliffs of Beachy Head.
  • E. Bexhill-on-Sea
    Bexhill-on-Sea is a seaside town in East Sussex, England, known for its Victorian and Edwardian architecture and the modernist De La Warr Pavilion on the south coast.
  • 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: [Arrondissement of Antwerp, contains, Hove]
Generated description
Hove is a small, affluent municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hove
Target entity description: Hove is a small, affluent municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
  • 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. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • C. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • D. Eastbourne
    Eastbourne is a seaside town and popular coastal resort on England’s south coast, known for its Victorian architecture, long promenade, and proximity to the chalk cliffs of Beachy Head.
  • E. Bexhill-on-Sea
    Bexhill-on-Sea is a seaside town in East Sussex, England, known for its Victorian and Edwardian architecture and the modernist De La Warr Pavilion on the south coast.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86874d5e48190a07c48f667fb8f6e completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c868d21b688190ba2f6ad849f4bde5 completed March 28, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_69c869d14ae08190b2742af3878333e6 completed March 28, 2026, 11:52 p.m.
Created at: March 27, 2026, 3:55 p.m.