Triple

T3963545
Position Surface form Disambiguated ID Type / Status
Subject Worth Matravers E85961 entity
Predicate postTown P2711 FINISHED
Object SWANAGE E350633 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: SWANAGE | Statement: [Worth Matravers, postTown, SWANAGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWANAGE
Context triple: [Worth Matravers, postTown, SWANAGE]
  • A. Swanage chosen
    Swanage is a small coastal resort town on the Isle of Purbeck in southern England, known for its sandy beach, Victorian pier, and access to the Jurassic Coast.
  • B. Bexhill-on-Sea
    Bexhill-on-Sea is a seaside town in East Sussex, England, known for its Victorian and Edwardian architecture and the modernist De La Warr Pavilion on the south coast.
  • C. Ilfracombe
    Ilfracombe is a seaside resort town in North Devon, England, known for its dramatic coastal scenery, Victorian architecture, and historic harbor.
  • D. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • E. Harleston
    Harleston is a village and civil parish located in the county of Suffolk in eastern England.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef971e5608190a66361484a6f52dc completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533bb92088190b7d0ba2eb92c3e80 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:31 p.m.