Triple

T7313927
Position Surface form Disambiguated ID Type / Status
Subject Randolph E168161 entity
Predicate county P75 FINISHED
Object Norfolk County E4305 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: Norfolk County | Statement: [Randolph, county, Norfolk County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norfolk County
Context triple: [Randolph, county, Norfolk County]
  • A. Norfolk County chosen
    Norfolk County is a county in eastern Massachusetts that includes a mix of suburban communities and key urban institutions just outside Boston.
  • B. Norfolk County
    Norfolk County is a largely rural single-tier municipality in southwestern Ontario, Canada, known for its agriculture, Lake Erie shoreline, and small communities such as Simcoe and Port Dover.
  • C. Norfolk county
    Norfolk county is a historic and predominantly rural county in the East of England, known for its flat landscapes, extensive coastline, and market towns such as Norwich and King’s Lynn.
  • 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. Suffolk
    Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eb9c46881908da8fde17a09b50d completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:02 p.m.