Triple

T19884965
Position Surface form Disambiguated ID Type / Status
Subject Silverlake Stadium E477873 entity
Predicate location P40 FINISHED
Object Hampshire 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: Hampshire | Statement: [Silverlake Stadium, location, Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampshire
Context triple: [Silverlake Stadium, location, 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
    Hampshire is a rural locality in the north-west of Tasmania, Australia, known for its forestry and agricultural activities.
  • C. 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.
  • D. Hampshire County
    Hampshire County is a county in the Eastern Panhandle of West Virginia known for its rural Appalachian landscape, small towns, and historic transportation routes.
  • E. 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.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659093df081909d3be9c3caeb79ba completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.