Triple

T13593918
Position Surface form Disambiguated ID Type / Status
Subject MCA Chicago E324763 entity
Predicate shortName P43 FINISHED
Object MCA Chicago E324763 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: MCA Chicago | Statement: [MCA Chicago, shortName, MCA Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCA Chicago
Context triple: [MCA Chicago, shortName, MCA Chicago]
  • A. MCA Chicago chosen
    MCA Chicago is a major contemporary art museum in Chicago known for its cutting-edge exhibitions, performances, and public programs showcasing innovative art from around the world.
  • B. Illinois–Chicago
    Illinois–Chicago refers to the University of Illinois at Chicago (UIC), a major public research university located in Chicago, Illinois.
  • C. Chicago Public League
    The Chicago Public League is a high school athletic conference in Chicago that organizes and governs interscholastic sports competition among Chicago Public Schools.
  • D. Chicago West
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • E. Chicago Machine
    Chicago Machine was a professional field lacrosse team that competed in Major League Lacrosse and was based in the Chicago metropolitan area.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.