Triple

T17936082
Position Surface form Disambiguated ID Type / Status
Subject Peter B. Lewis Building E448469 entity
Predicate city P40 FINISHED
Object Cleveland 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: Cleveland | Statement: [Peter B. Lewis Building, city, Cleveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveland
Context triple: [Peter B. Lewis Building, city, Cleveland]
  • A. Cleveland
    Cleveland is a small city in northeastern Georgia known as a gateway to the Appalachian Mountains and nearby gold-mining and outdoor recreation areas.
  • B. Cleveland
    Cleveland is a historic industrial and coastal area in North East England, traditionally associated with ironstone mining and steelmaking.
  • C. 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.
  • D. Cleveland
    Cleveland is a small city in Cass County, Missouri, United States.
  • E. Cleveland
    Cleveland is a coastal suburb and transport hub in Redland City, Queensland, Australia, serving as a key gateway to the nearby Moreton Bay Islands.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad924f6c8190a0d676dfa20c9918 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.