Triple

T17294909
Position Surface form Disambiguated ID Type / Status
Subject A281 road E419880 entity
Predicate regionServed P82 FINISHED
Object West Sussex NE NERFINISHED

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: [A281 road, regionServed, West Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Sussex
Context triple: [A281 road, regionServed, 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. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • E. Surrey County
    Surrey County is a historic and predominantly suburban county in South East England, known for its affluent towns, extensive green spaces, and proximity to London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
Created at: April 10, 2026, 5:40 a.m.