Triple

T11479263
Position Surface form Disambiguated ID Type / Status
Subject Brighton City Airport E272099 entity
Predicate nearbyCity P350 FINISHED
Object Worthing E132353 NE FINISHED

How this triple was built (2 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: Worthing | Statement: [Brighton City Airport, nearbyCity, Worthing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worthing
Context triple: [Brighton City Airport, nearbyCity, Worthing]
  • A. Worthing chosen
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • 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. Hove
    Hove is a small, affluent municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
  • D. East Grinstead
    East Grinstead is a historic market town in southeastern England known for its medieval timber-framed buildings and role as a local commercial and commuter hub.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6249ee74881908814cf59c82038a6 completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:36 p.m.