Triple

T11954333
Position Surface form Disambiguated ID Type / Status
Subject Peter Symonds College E284511 entity
Predicate regionServed P82 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: [Peter Symonds College, regionServed, Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampshire
Context triple: [Peter Symonds College, regionServed, 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. Hampshire County
    Hampshire County is a county in western Massachusetts known for its college towns, including Amherst and Northampton, and its vibrant academic and cultural communities.
  • C. Hampshire Avon
    Hampshire Avon is a river in southern England that flows through Wiltshire, Dorset, and Hampshire before emptying into the English Channel at Christchurch.
  • D. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • E. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5753848190b0ab7da327c9aa22 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:45 p.m.