Triple

T10983433
Position Surface form Disambiguated ID Type / Status
Subject Northumberland County E259566 entity
Predicate containsSettlement P847 FINISHED
Object Cramlington E259585 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: Cramlington | Statement: [Northumberland County, containsSettlement, Cramlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cramlington
Context triple: [Northumberland County, containsSettlement, Cramlington]
  • A. Cramlington chosen
    Cramlington is a modern, largely residential town in North East England known for its post-war development and proximity to Newcastle upon Tyne.
  • B. Didlington
    Didlington is a small village in Norfolk, England, known for its rural landscape, historic estate, and proximity to the River Wissey.
  • C. Morpeth
    Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
  • D. Hexham
    Hexham is a historic market town in Northumberland, England, known for its medieval abbey and proximity to Hadrian’s Wall.
  • E. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ec55fc81909b2b15f2493dddc6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e717481c81908800cd785537c8fc completed April 18, 2026, 8:18 p.m.
Created at: April 8, 2026, 9:24 p.m.