Triple

T17630750
Position Surface form Disambiguated ID Type / Status
Subject Sophie E429968 entity
Predicate setIn P1393 FINISHED
Object Baltimore 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: Baltimore | Statement: [Sophie, setIn, Baltimore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltimore
Context triple: [Sophie, setIn, Baltimore]
  • A. Baltimore chosen
    Baltimore is a major independent city and seaport in Maryland, United States, known for its historic harbor, diverse neighborhoods, and significant cultural and economic role in the Mid-Atlantic region.
  • B. Baltimore
    Baltimore is a small coastal village in West Cork, Ireland, known for its fishing heritage, sailing, and as a gateway to nearby islands like Sherkin and Cape Clear.
  • C. Jones Falls
    Jones Falls is a significant stream in central Maryland that flows through Baltimore before joining the Patapsco River.
  • D. Owings Mills, Maryland
    Owings Mills, Maryland is a suburban community northwest of Baltimore known for hosting the Baltimore Ravens’ training complex and serving as a regional commercial and residential hub.
  • E. Oakland, Maryland
    Oakland, Maryland is a small town in western Maryland’s Garrett County, known as a gateway to the Appalachian highlands and nearby outdoor recreation areas.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc01b1c819099e3329cfb8cb77f completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.