Triple

T16900512
Position Surface form Disambiguated ID Type / Status
Subject K2 Crawley E424421 entity
Predicate location P40 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: [K2 Crawley, location, West Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Sussex
Context triple: [K2 Crawley, location, 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 (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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbfb781881908f4d56f523e78f7a completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:29 a.m.