Triple

T8807346
Position Surface form Disambiguated ID Type / Status
Subject Reading Football Club E209565 entity
Predicate homeCounty P3505 FINISHED
Object Berkshire E83859 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: Berkshire | Statement: [Reading Football Club, homeCounty, Berkshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkshire
Context triple: [Reading Football Club, homeCounty, Berkshire]
  • A. Berkshire chosen
    Berkshire is a historic county in South East England known for its royal connections, including Windsor Castle, and its mix of affluent towns and rural landscapes.
  • B. Berkshire County
    Berkshire County is a rural, culturally rich county in western Massachusetts known for its scenic Berkshire Mountains, outdoor recreation, and vibrant arts institutions.
  • C. Hampshire
    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.
  • D. 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.
  • E. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd2fadc81908b27e9296885af2b completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf8921a13081909346b97c024110b6 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:45 p.m.