Triple

T9466470
Position Surface form Disambiguated ID Type / Status
Subject Cameron Crazies E228283 entity
Predicate associatedWith P37 FINISHED
Object Krzyzewskiville E228284 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: Krzyzewskiville | Statement: [Cameron Crazies, associatedWith, Krzyzewskiville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krzyzewskiville
Context triple: [Cameron Crazies, associatedWith, Krzyzewskiville]
  • A. Krzyzewskiville chosen
    Krzyzewskiville is the tent city where Duke University students camp out for tickets to men's basketball games, especially against rival North Carolina.
  • B. Lipscomb
    Lipscomb is a small city located in Jefferson County, Alabama, within the Birmingham metropolitan area.
  • C. Villanova
    Villanova is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • D. Creighton
    Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
  • E. Bowling Green
    Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.