Triple

T18101503
Position Surface form Disambiguated ID Type / Status
Subject Seaham Hall E433228 entity
Predicate locatedIn P40 FINISHED
Object Seaham 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: Seaham | Statement: [Seaham Hall, locatedIn, Seaham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seaham
Context triple: [Seaham Hall, locatedIn, Seaham]
  • A. Seaham
    Seaham is a small rural town in the Hunter Region of New South Wales, Australia, known for its historic buildings and riverside setting.
  • B. Seaham chosen
    Seaham is a coastal town in North East England known for its seafront, historic harbor, and former coal mining heritage.
  • C. Westgate-on-Sea
    Westgate-on-Sea is a small seaside town on the north coast of Kent, England, known for its sandy beaches and Victorian architecture.
  • D. Caister-on-Sea
    Caister-on-Sea is a coastal village and popular holiday resort in Norfolk, England, known for its sandy beaches and historic lifeboat station.
  • E. Hornsea
    Hornsea is a small seaside town and former fishing village on the North Sea coast of the East Riding of Yorkshire in England, known for its beach, promenade, and nearby Hornsea Mere.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb6fed8819090798683353a5c08 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.