Triple

T17811163
Position Surface form Disambiguated ID Type / Status
Subject Max Bishop Stadium E444707 entity
Predicate city P40 FINISHED
Object Annapolis NE NERFINISHED

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: Annapolis | Statement: [Max Bishop Stadium, city, Annapolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annapolis
Context triple: [Max Bishop Stadium, city, Annapolis]
  • A. Annapolis chosen
    Annapolis is a historic U.S. city on the Chesapeake Bay known for its colonial architecture, maritime heritage, and as the home of the United States Naval Academy.
  • B. Salisbury, Maryland
    Salisbury, Maryland is a small city on Maryland’s Eastern Shore known as a regional commercial hub and the home of Salisbury University.
  • C. Georgetown, Maryland
    Georgetown, Maryland is a small census-designated community located in Kent County on Maryland’s Eastern Shore.
  • D. Aberdeen, Maryland
    Aberdeen, Maryland is a small city in Harford County best known as the home of the U.S. Army’s Aberdeen Proving Ground and for its proximity to the Chesapeake Bay.
  • E. Jefferson, Maryland
    Jefferson, Maryland is a small unincorporated community and historic rural town in Frederick County, known for its scenic setting in western Maryland and its 18th- and 19th-century architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887b5e50819098506f0b92d709b5 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.