Triple

T6194718
Position Surface form Disambiguated ID Type / Status
Subject Grosmont E138480 entity
Predicate hasRailConnectionTo P848 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: [Grosmont, hasRailConnectionTo, Pickering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pickering
Context triple: [Grosmont, hasRailConnectionTo, Pickering]
  • A. Pickering
    Pickering is a suburban city in Southern Ontario, Canada, located just east of Toronto along Lake Ontario.
  • B. 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.
  • C. Pickering
    Pickering is an English-origin surname borne by numerous notable figures in science, politics, and the arts.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.