Triple

T19109690
Position Surface form Disambiguated ID Type / Status
Subject X90 Oxford–London coaches E467753 entity
Predicate operatedBy P86 FINISHED
Object Oxford Bus Company — NE NERFINISHED

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: Oxford Bus Company | Statement: [X90 Oxford–London coaches, operatedBy, Oxford Bus Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oxford Bus Company
Context triple: [X90 Oxford–London coaches, operatedBy, Oxford Bus Company]
  • A. Oxford Bus Company chosen
    Oxford Bus Company is a major bus operator providing local and intercity bus services in and around Oxford, England.
  • B. Brighton & Hove Bus and Coach Company
    Brighton & Hove Bus and Coach Company is a major bus operator serving the city of Brighton and Hove and surrounding areas on England’s south coast.
  • C. FirstGroup
    FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
  • D. First Bus
    First Bus is a major UK bus operator providing local and regional public transport services in numerous towns and cities.
  • E. Golden Arrow Bus Services
    Golden Arrow Bus Services is a major public bus operator in Cape Town, South Africa, providing commuter transport across the city and its surrounding suburbs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e392ef488190a230b1d2890b2a9d completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.