Triple

T6867635
Position Surface form Disambiguated ID Type / Status
Subject Barton Bendish E158449 entity
Predicate hasPostTown P2711 FINISHED
Object King’s Lynn E20494 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: King’s Lynn | Statement: [Barton Bendish, hasPostTown, King’s Lynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King’s Lynn
Context triple: [Barton Bendish, hasPostTown, King’s Lynn]
  • A. King's Lynn chosen
    King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
  • B. Great Yarmouth
    Great Yarmouth is a coastal town and seaside resort in Norfolk, England, historically significant as a fishing port and parliamentary borough.
  • C. Lowestoft
    Lowestoft is a coastal town in Suffolk, England, known as the easternmost settlement in the United Kingdom and a traditional fishing and seaside resort.
  • D. Norwich
    Norwich is a rural township in Oxford County, Ontario, known for its agricultural community and small-town character.
  • E. Norwich
    Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a793a481909340239c065393a4 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7881e300881909c1cad76bc8b23ff completed March 28, 2026, 7:49 a.m.
Created at: March 27, 2026, 2:21 p.m.