Triple

T48695
Position Surface form Disambiguated ID Type / Status
Subject Federal Art Project E956 entity
Predicate workLocation P7 FINISHED
Object Cleveland E6554 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: Cleveland | Statement: [Federal Art Project, workLocation, Cleveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveland
Context triple: [Federal Art Project, workLocation, Cleveland]
  • A. Cleveland chosen
    Cleveland is a major city in the U.S. state of Ohio, known for its industrial history, cultural institutions like the Rock and Roll Hall of Fame, and its location on the southern shore of Lake Erie.
  • B. Columbus, Ohio
    Columbus, Ohio is the capital and largest city of Ohio, known for its diverse economy, major universities, and role as a cultural and political center in the region.
  • C. Detroit
    Detroit is a major U.S. city in Michigan known historically as the center of the American automotive industry and for its influential contributions to music, particularly Motown.
  • D. Hamilton
    Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
  • E. Milwaukee
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24af3e4a88190abe2f0c5a0e83ff3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27bfdda548190ae43a219cb555ad0 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.