Triple

T2310413
Position Surface form Disambiguated ID Type / Status
Subject FirstGroup E51942 entity
Predicate hasSubsidiary P254 FINISHED
Object Greyhound Lines E63224 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: Greyhound Lines | Statement: [FirstGroup, hasSubsidiary, Greyhound Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greyhound Lines
Context triple: [FirstGroup, hasSubsidiary, Greyhound Lines]
  • A. Greyhound Lines chosen
    Greyhound Lines is a major intercity bus company in North America, providing long-distance coach services across the United States and into Canada and Mexico.
  • B. Aaran Lines
    Aaran Lines is a New Zealand former professional footballer and coach best known for leading the Western New York Flash in the National Women's Soccer League.
  • C. Montebello Bus Lines
    Montebello Bus Lines is a public transit agency serving the city of Montebello and surrounding communities in Los Angeles County with local and express bus services.
  • D. Federal Passenger Company
    Federal Passenger Company is a major Russian rail operator responsible for long-distance passenger train services across Russia and neighboring countries.
  • E. Omnitrans
    Omnitrans is the primary public bus transit agency serving San Bernardino County and surrounding communities in Southern California.
  • 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_69ae8959d860819095ea3113e3d9264e completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.