Triple

T12536269
Position Surface form Disambiguated ID Type / Status
Subject Reydon E299697 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Blythburgh E299712 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: Blythburgh | Statement: [Reydon, hasNeighbouringSettlement, Blythburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blythburgh
Context triple: [Reydon, hasNeighbouringSettlement, Blythburgh]
  • A. Blythburgh chosen
    Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
  • B. Eynesbury
    Eynesbury is a historic district and former village now effectively part of the town of St Neots in Cambridgeshire, England.
  • C. Woolpit
    Woolpit is a historic village in Suffolk, England, best known for the medieval legend of the Green Children of Woolpit.
  • D. Swaffham Bulbeck
    Swaffham Bulbeck is a rural village and civil parish in Cambridgeshire, England, known for its historic church, traditional architecture, and agricultural surroundings.
  • E. Amesbury
    Amesbury is a historic New England city in northeastern Massachusetts known for its early shipbuilding and industrial heritage along the Merrimack River.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557a95d48190ac588807544f060f completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.