Triple

T2310418
Position Surface form Disambiguated ID Type / Status
Subject FirstGroup E51942 entity
Predicate operatesBrand P6092 FINISHED
Object Greyhound E126778 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 | Statement: [FirstGroup, operatesBrand, Greyhound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greyhound
Context triple: [FirstGroup, operatesBrand, Greyhound]
  • A. Greyhound
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • B. Greyhound chosen
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • C. Ridgebacks
    The Ridgebacks are the varsity athletic teams representing Ontario Tech University in intercollegiate sports competitions.
  • D. Bulldogs
    Bulldogs is the nickname of Yale University's men's basketball team, a historic Ivy League program competing in NCAA Division I.
  • E. Bulldogs
    Bulldogs is the mascot and collective nickname commonly associated with various sports teams, notably those of California State University, Fresno.
  • 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.