Triple

T12535865
Position Surface form Disambiguated ID Type / Status
Subject Framlingham E299686 entity
Predicate hasConservationArea P855 FINISHED
Object Framlingham town centre E299686 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: Framlingham town centre | Statement: [Framlingham, hasConservationArea, Framlingham town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Framlingham town centre
Context triple: [Framlingham, hasConservationArea, Framlingham town centre]
  • A. Framlingham chosen
    Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
  • B. Downham Market
    Downham Market is a historic market town in Norfolk, England, known for its traditional town center, riverside setting on the River Great Ouse, and role as a local commercial hub.
  • C. Fakenham
    Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
  • D. Finningham
    Finningham is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • E. Lavenham
    Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
  • 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.