Triple

T18394571
Position Surface form Disambiguated ID Type / Status
Subject Frederick Valley E449832 entity
Predicate contains P35 FINISHED
Object City of Frederick 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: City of Frederick | Statement: [Frederick Valley, contains, City of Frederick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Frederick
Context triple: [Frederick Valley, contains, City of Frederick]
  • A. Frederick, Maryland chosen
    Frederick, Maryland is a historic city in western Maryland known for its vibrant downtown, Civil War heritage, and role as a regional hub for government and biomedical research.
  • B. Hagerstown, Maryland
    Hagerstown, Maryland is a city in western Maryland known as a regional hub near key Civil War sites and transportation routes.
  • C. Mount Airy
    Mount Airy is a small town in northeastern Georgia, United States, known for its rural character and location in the foothills of the Blue Ridge Mountains.
  • D. Mount Airy
    Mount Airy is a historic, leafy residential neighborhood in northwest Philadelphia known for its diversity, charming rowhouses, and vibrant local business corridors.
  • E. Bladensburg, Maryland
    Bladensburg, Maryland is a small historic town in the Washington, D.C. metropolitan area known for its role in the War of 1812 and its location along the Anacostia River.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e51845d6708190bc96ec801e21b7a3 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.