Triple

T12762263
Position Surface form Disambiguated ID Type / Status
Subject Greyhound Mexico E305023 entity
Predicate brand P1500 FINISHED
Object Greyhound E1003203 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: [Greyhound Mexico, brand, Greyhound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greyhound
Context triple: [Greyhound Mexico, brand, 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
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • C. Greyhound chosen
    Greyhound is a long-distance intercity bus service brand known for its extensive coach network across North America.
  • D. Greyhounds
    Greyhounds is the nickname and mascot for Loyola University Maryland’s athletic teams, notably including its prominent men’s lacrosse program.
  • E. Foxhound
    Foxhound is the NATO reporting name for the Soviet-designed Mikoyan MiG-31, a long-range supersonic interceptor aircraft developed during the Cold War.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8f9f588190bffdea878856204b completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54061dc8190849855f035d63300 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:28 p.m.