Triple

T2310408
Position Surface form Disambiguated ID Type / Status
Subject FirstGroup E51942 entity
Predicate formedByMergerOf P77 FINISHED
Object Badgerline E256307 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: Badgerline | Statement: [FirstGroup, formedByMergerOf, Badgerline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badgerline
Context triple: [FirstGroup, formedByMergerOf, Badgerline]
  • A. Badgerline chosen
    Badgerline was a major British bus operator that emerged from the privatization of the National Bus Company and later became a core part of the transport group FirstGroup.
  • B. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • C. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Winnebago
    Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
  • E. Oshkosh Racey
    Oshkosh Racey is a celebrated American racing greyhound renowned for his exceptional track performance and status as one of the sport’s notable champions.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc6098ce88190ba2e987e6f0737ac completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960dfb708190868126460d27b144 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.