Triple

T871070
Position Surface form Disambiguated ID Type / Status
Subject A24 road E18813 entity
Predicate passesThrough P225 FINISHED
Object West Sussex E26079 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: West Sussex | Statement: [A24 road, passesThrough, West Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Sussex
Context triple: [A24 road, passesThrough, West Sussex]
  • A. West Sussex chosen
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • B. East Sussex
    East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
  • C. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • D. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • E. Oxfordshire
    Oxfordshire is a historic county in South East England known for the city of Oxford and its prestigious university, as well as its stately homes and rural landscapes.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac94d5ac81909feee876696da589 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69af1f642cf481908028e4947c98e29c completed March 9, 2026, 7:28 p.m.
Created at: March 1, 2026, 7:39 p.m.