Triple

T317029
Position Surface form Disambiguated ID Type / Status
Subject Cambridgeshire E7729 entity
Predicate borders P224 FINISHED
Object Lincolnshire E24101 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: Lincolnshire | Statement: [Cambridgeshire, borders, Lincolnshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincolnshire
Context triple: [Cambridgeshire, borders, Lincolnshire]
  • A. Lincolnshire chosen
    Lincolnshire is a large, predominantly rural county in the East Midlands of England, known for its flat agricultural landscapes, historic market towns, and North Sea coastline.
  • B. Hertfordshire
    Hertfordshire is a county in southern England known for its historic market towns, countryside, and proximity to London.
  • C. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • D. Nottinghamshire
    Nottinghamshire is a historic county in the East Midlands of England, best known as the legendary home of Robin Hood and the Sherwood Forest.
  • E. Staffordshire
    Staffordshire is a landlocked county in the West Midlands of England known for its industrial heritage, particularly in pottery and brewing, and its mix of rural landscapes and historic towns.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea65ca7081908093e6aaaf2d34f7 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a146fcc8819095b8d793864fbab1 completed March 1, 2026, 8:27 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.