Triple

T10088205
Position Surface form Disambiguated ID Type / Status
Subject Boxmoor E215273 entity
Predicate withinRegion P9687 FINISHED
Object Home Counties E35879 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: Home Counties | Statement: [Boxmoor, withinRegion, Home Counties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Counties
Context triple: [Boxmoor, withinRegion, Home Counties]
  • A. Home Counties chosen
    The Home Counties are the traditionally affluent and largely suburban counties surrounding London in southeast England, often associated with commuter towns and a high quality of life.
  • B. Home County
    Home County is a long-running annual music and arts festival held in London, Ontario, showcasing folk and roots performers alongside local artisans and community activities.
  • C. South County
    South County is the popular informal name for the coastal, tourism-oriented region encompassing much of Washington County in southern Rhode Island.
  • D. Canadian County
    Canadian County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
  • E. Condado
    Condado is an upscale beachfront district in San Juan, Puerto Rico, known for its hotels, casinos, shopping, and vibrant nightlife.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04875748190a81d1e9ad68dda96 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b693afac819090635d2eb147bdcb completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9:01 p.m.