Triple

T24709
Position Surface form Disambiguated ID Type / Status
Subject Cambridge, England E492 entity
Predicate isCountyTownOf P383 FINISHED
Object Cambridgeshire E7729 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: Cambridgeshire | Statement: [Cambridge, England, isCountyTownOf, Cambridgeshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridgeshire
Context triple: [Cambridge, England, isCountyTownOf, Cambridgeshire]
  • A. Cambridgeshire, England chosen
    Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
  • B. Norfolk County
    Norfolk County is a county in eastern Massachusetts that includes a mix of suburban communities and key urban institutions just outside Boston.
  • C. Berkshire, England
    Berkshire, England is a historic county in South East England known for its royal connections, including Windsor Castle, and its picturesque Thames-side towns.
  • D. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • E. East of England
    The East of England is an official region of England encompassing several counties in the east of the country, known for its historic cities, rural landscapes, and significant academic and technological centers.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c13d2ac8190a72d174282dfad9d completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.