Triple

T7752188
Position Surface form Disambiguated ID Type / Status
Subject Commander-in-Chief, The Nore E175793 entity
Predicate headquarters P62 FINISHED
Object Sheerness E56845 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: Sheerness | Statement: [Commander-in-Chief, The Nore, headquarters, Sheerness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheerness
Context triple: [Commander-in-Chief, The Nore, headquarters, Sheerness]
  • A. Sheerness Port chosen
    Sheerness Port is a major deep-water port on the Isle of Sheppey in Kent, England, known for handling automotive imports, forest products, and other bulk cargo.
  • B. Folkestone
    Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
  • C. Ramsgate
    Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
  • D. Brightlingsea
    Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
  • E. Whitstable
    Whitstable is a coastal town on the north coast of Kent in southeast England, known for its historic oyster fishing industry and pebble beaches.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b382588190ad8dc7138987829a completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902b3308c8190ae9a8705087d2e8d completed March 29, 2026, 10:45 a.m.
Created at: March 27, 2026, 4:08 p.m.