Triple

T12969336
Position Surface form Disambiguated ID Type / Status
Subject Legion Field E321351 entity
Predicate hosted P2777 FINISHED
Object Magic City Classic E931236 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: Magic City Classic | Statement: [Legion Field, hosted, Magic City Classic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic City Classic
Context triple: [Legion Field, hosted, Magic City Classic]
  • A. Magic City Classic chosen
    The Magic City Classic is an annual college football game and major cultural event in Birmingham, Alabama, featuring a historic rivalry matchup between Alabama State University and Alabama A&M University.
  • B. Magic City
    Magic City is a popular nickname for Miami, highlighting the city's rapid growth, vibrant nightlife, and dynamic cultural scene.
  • C. Magic City
    Magic City is a nickname for Roanoke, Virginia, reflecting its rapid growth and development during the late 19th and early 20th centuries.
  • D. Magic City
    Magic City is the nickname of Minot, North Dakota, reflecting its rapid early growth and development.
  • E. Magic City
    Magic City is a stylish period crime drama television series set in 1950s Miami, centered on the dark underworld surrounding a glamorous luxury hotel.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:33 p.m.