Triple

T889083
Position Surface form Disambiguated ID Type / Status
Subject Governor of Maryland E19197 entity
Predicate seat P75 FINISHED
Object Annapolis, Maryland E22341 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: Annapolis, Maryland | Statement: [Governor of Maryland, seat, Annapolis, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annapolis, Maryland
Context triple: [Governor of Maryland, seat, Annapolis, Maryland]
  • 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. Clinton, Maryland
    Clinton, Maryland is a suburban community in Prince George’s County known for its residential neighborhoods and proximity to Washington, D.C.
  • C. Brunswick, Maryland
    Brunswick, Maryland is a small city along the Potomac River known historically as a B&O Railroad hub and now as a commuter town within the Washington, D.C. metropolitan area.
  • D. Frederick, Maryland
    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.
  • E. Bethesda, Maryland
    Bethesda, Maryland is a suburban community just northwest of Washington, D.C., known for its major medical and research institutions, affluent residential areas, and vibrant downtown.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acff52008190ac2975c08ad29f54 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad307c46988190bb4ba823ad313a88 completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 7:39 p.m.