Triple

T6714151
Position Surface form Disambiguated ID Type / Status
Subject Sheringham E153220 entity
Predicate near P350 FINISHED
Object Cromer E169084 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: Cromer | Statement: [Sheringham, near, Cromer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cromer
Context triple: [Sheringham, near, Cromer]
  • A. Cromer chosen
    Cromer is a traditional seaside town on the north coast of Norfolk, England, known for its Victorian pier, sandy beaches, and famous Cromer crab.
  • B. Cromer
    Cromer is a small rural village located within the North Hertfordshire district of Hertfordshire, England.
  • C. Great Yarmouth
    Great Yarmouth is a coastal town and seaside resort in Norfolk, England, historically significant as a fishing port and parliamentary borough.
  • D. 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.
  • E. Cleethorpes
    Cleethorpes is a seaside resort town on the east coast of England, known for its sandy beaches, promenade, and traditional British holiday attractions.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d122d6cc81909bde0c94fb95f016 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70096e05c8190abfa90996db37eeb completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.