Triple

T14369177
Position Surface form Disambiguated ID Type / Status
Subject Harold Jeffreys E356313 entity
Predicate placeOfBirth P1 FINISHED
Object County Durham E40394 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: County Durham | Statement: [Harold Jeffreys, placeOfBirth, County Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County Durham
Context triple: [Harold Jeffreys, placeOfBirth, County Durham]
  • A. County Durham chosen
    County Durham is a historic county in North East England known for its cathedral city of Durham, rich industrial heritage, and scenic dales.
  • B. North Durham
    North Durham is a parliamentary constituency in County Durham, England, represented in the UK House of Commons.
  • C. North West Durham
    North West Durham is a UK parliamentary constituency in County Durham, England, represented in the House of Commons.
  • D. North Yorkshire
    North Yorkshire is a large ceremonial county in northern England known for its expansive rural landscapes, including much of the Yorkshire Dales and North York Moors National Parks.
  • E. Northumberland
    Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.