Triple

T22096518
Position Surface form Disambiguated ID Type / Status
Subject Dirksland E546047 entity
Predicate capital P234 FINISHED
Object Dirksland (town) NE NERFINISHED

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: Dirksland (town) | Statement: [Dirksland, capital, Dirksland (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirksland (town)
Context triple: [Dirksland, capital, Dirksland (town)]
  • A. Dirksland (town) chosen
    Dirksland (town) is a small Dutch town located on the island of Goeree-Overflakkee in the province of South Holland, known for its rural character and regional hospital.
  • B. Fortlands
    Fortlands is a settlement located within Saint George Basseterre Parish on the Caribbean island nation of Saint Kitts and Nevis.
  • C. town of Dirranbandi
    The town of Dirranbandi is a small rural community in southwestern Queensland, Australia, known for its cotton and agricultural production and its location near the New South Wales border.
  • D. Blanchland
    Blanchland is a historic village in Northumberland, England, known for its origins as a 12th-century Premonstratensian abbey and its well-preserved stone architecture.
  • E. Kessingland
    Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e8f1f48190a5f1d9e96a6de688 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:30 p.m.