Triple

T2317728
Position Surface form Disambiguated ID Type / Status
Subject Northumberland E51104 entity
Predicate hasCountyTown P383 FINISHED
Object Morpeth E166285 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: Morpeth | Statement: [Northumberland, hasCountyTown, Morpeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morpeth
Context triple: [Northumberland, hasCountyTown, Morpeth]
  • A. Morpeth chosen
    Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
  • B. Hexham
    Hexham is a historic market town in Northumberland, England, known for its medieval abbey and proximity to Hadrian’s Wall.
  • C. Tynemouth
    Tynemouth is a coastal town in Tyne and Wear, England, known for its historic priory and castle overlooking long sandy beaches at the mouth of the River Tyne.
  • D. 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.
  • E. Berwick-upon-Tweed
    Berwick-upon-Tweed is a historic English border town near Scotland, known for its medieval walls, strategic military past, and coastal location at the mouth of the River Tweed.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62fa60c8190b4859ce296ea4177 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9610b420819095afb76347ddf9ee completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.