Triple

T14933741
Position Surface form Disambiguated ID Type / Status
Subject Potters Bar E372335 entity
Predicate hasRailServiceTo P726 FINISHED
Object Hove
Hove is a seaside town on the south coast of England, forming part of the city of Brighton and Hove in East Sussex.
E272100 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: [Potters Bar, hasRailServiceTo, Hove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hove
Context triple: [Potters Bar, hasRailServiceTo, 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. 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. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • E. 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.
  • 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: [Potters Bar, hasRailServiceTo, Hove]
Generated description
Hove is a seaside town on the south coast of England, forming part of the city of Brighton and Hove in East Sussex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hove
Target entity description: Hove is a seaside town on the south coast of England, forming part of the city of Brighton and Hove in East Sussex.
  • A. Hove chosen
    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. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • E. 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.
  • F. None of above.

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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc0fa288190935ddd3ce61f3721 completed May 9, 2026, 2:36 a.m.
NEDg Description generation batch_69fe9eccbc748190b6c6e663d2637b81 completed May 9, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fe9f2ea6f881908edec9e38228fd56 completed May 9, 2026, 2:42 a.m.
Created at: April 10, 2026, 2:37 a.m.