Triple

T16000652
Position Surface form Disambiguated ID Type / Status
Subject Heworth Metro station E388081 entity
Predicate serves P98 FINISHED
Object Heworth E937554 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: Heworth | Statement: [Heworth Metro station, serves, Heworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heworth
Context triple: [Heworth Metro station, serves, Heworth]
  • A. Haworth
    Haworth is a global office furniture and workspace solutions company known for its innovative, design-driven products and collaborations with leading designers.
  • B. Haworth
    Haworth is a historic village in West Yorkshire, England, best known as the home of the Brontë sisters and a popular literary and heritage tourism destination.
  • C. Heworth, Yorkshire chosen
    Heworth, Yorkshire is a suburban area of York in North Yorkshire, England, known for its historic village character and residential streets.
  • D. Elloughton
    Elloughton is a village in the East Riding of Yorkshire, England, forming a joint civil parish with the nearby town of Brough.
  • E. Hotten
    Hotten is an English surname most notably associated with Victorian-era publisher and bibliographer John Camden Hotten.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.