Triple

T21924828
Position Surface form Disambiguated ID Type / Status
Subject Buxton, Norfolk, England E541415 entity
Predicate hasShireCounty P4770 FINISHED
Object Norfolk 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: Norfolk | Statement: [Buxton, Norfolk, England, hasShireCounty, Norfolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norfolk
Context triple: [Buxton, Norfolk, England, hasShireCounty, Norfolk]
  • A. Norfolk chosen
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • B. Norfolk
    Norfolk is an independent coastal city in southeastern Virginia known for its major naval base and historic waterfront.
  • C. Portsmouth
    Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
  • D. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • E. Portsmouth
    Portsmouth is a residential neighborhood in North Portland, Oregon, known for its parks, schools, and diverse community.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fa40c48190b80a85e562ea2591 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.