Triple

T2310405
Position Surface form Disambiguated ID Type / Status
Subject FirstGroup E51942 entity
Predicate foundedBy P104 FINISHED
Object Badgerline
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.
 E256307 NE FINISHED

How this triple was built (4 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, foundedBy, Badgerline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badgerline
Context triple: [FirstGroup, foundedBy, Badgerline]
  • A. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • B. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Winnebago
    Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
  • D. 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.
  • E. Perkins
    Perkins is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Badgerline
Triple: [FirstGroup, foundedBy, Badgerline]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badgerline
Target entity description: 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.
  • A. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • B. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Winnebago
    Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
  • D. 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.
  • E. Perkins
    Perkins is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
  • F. None of above. chosen

Provenance (5 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_69ae8959d860819095ea3113e3d9264e completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8d49b7c081909f89c71a56067458 completed March 9, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_69ae8dc4cf44819082f242d6806aa45a completed March 9, 2026, 9:07 a.m.
Created at: March 4, 2026, 7:49 p.m.