Triple

T6141463
Position Surface form Disambiguated ID Type / Status
Subject River Avon (Hampshire) E136971 entity
Predicate flowsThrough P225 FINISHED
Object Hampshire E16510 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: Hampshire | Statement: [River Avon (Hampshire), flowsThrough, Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampshire
Context triple: [River Avon (Hampshire), flowsThrough, Hampshire]
  • A. Hampshire chosen
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • B. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • C. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • D. Suffolk
    Suffolk is an independent city in southeastern Virginia known for its large land area, historic downtown, and role as part of the Hampton Roads region.
  • E. Suffolk
    Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb2404c8190bbbfa78d5f49389f completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1352809748190bca3b862c72a70f4 completed March 23, 2026, 12:42 p.m.
Created at: March 22, 2026, 4:16 p.m.