Triple

T12000964
Position Surface form Disambiguated ID Type / Status
Subject Kima Greggs E285658 entity
Predicate residence P75 FINISHED
Object Baltimore E13094 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: Baltimore | Statement: [Kima Greggs, residence, Baltimore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltimore
Context triple: [Kima Greggs, residence, 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 (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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d259f7c81908366e7d9e61a6c73 completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.