Triple

T5373990
Position Surface form Disambiguated ID Type / Status
Subject Hole of Horcum E108916 entity
Predicate near P350 FINISHED
Object Pickering E423917 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: Pickering | Statement: [Hole of Horcum, near, Pickering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pickering
Context triple: [Hole of Horcum, near, Pickering]
  • A. Pickering
    Pickering is a suburban city in Southern Ontario, Canada, located just east of Toronto along Lake Ontario.
  • B. Pickering
    Pickering is an English-origin surname borne by numerous notable figures in science, politics, and the arts.
  • C. Pickering chosen
    Pickering is a historic market town in North Yorkshire, England, known as a gateway to the North York Moors and for its heritage steam railway.
  • D. Courtfield
    Courtfield is a residential district within the Royal Borough of Kensington and Chelsea in west London, known for its affluent character and proximity to central London amenities.
  • E. Keysborough
    Keysborough is a residential suburb in Melbourne’s south-east, known for its multicultural community, schools, and proximity to major shopping and industrial hubs.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86ad820081908763765dcbc99cbf completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf293ba6a08190bcbecf465e4e5881 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.