Triple

T13585667
Position Surface form Disambiguated ID Type / Status
Subject Marlesford E324551 entity
Predicate nearbyTown P3883 FINISHED
Object Framlingham 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 | Statement: [Marlesford, nearbyTown, Framlingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Framlingham
Context triple: [Marlesford, nearbyTown, Framlingham]
  • A. Framlingham chosen
    Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
  • B. Halesworth
    Halesworth is a small historic market town in Suffolk, England, known for its traditional high street and proximity to the Suffolk Coast and Heaths Area of Outstanding Natural Beauty.
  • C. Aylsham
    Aylsham is a historic market town in eastern England known for its traditional architecture and proximity to the Norfolk Broads.
  • D. Paglesham
    Paglesham is a small rural village in Essex, England, known historically for its fishing, boatbuilding, and smuggling heritage along the River Roach.
  • E. Fakenham
    Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae1d1b08190ad07b159ac3eba4b completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.