Triple

T15411364
Position Surface form Disambiguated ID Type / Status
Subject Benacre E368599 entity
Predicate adjacentParish P22613 FINISHED
Object Kessingland E299696 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: Kessingland | Statement: [Benacre, adjacentParish, Kessingland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kessingland
Context triple: [Benacre, adjacentParish, Kessingland]
  • A. Kessingland chosen
    Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
  • B. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • C. Birkholm
    Birkholm is a small, sparsely populated Danish island known for its tranquil natural environment and traditional village atmosphere in the South Funen Archipelago.
  • D. Keadby
    Keadby is a village in North Lincolnshire, England, known for its location on the River Trent and its nearby power station and transport links.
  • E. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7356548190af5651ab0bc03ab9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.