Triple

T18065835
Position Surface form Disambiguated ID Type / Status
Subject George Kelham E432289 entity
Predicate workLocation P7 FINISHED
Object Berkeley, California 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: Berkeley, California | Statement: [George Kelham, workLocation, Berkeley, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley, California
Context triple: [George Kelham, workLocation, Berkeley, California]
  • A. Berkeley, California, United States chosen
    Berkeley, California, United States is a vibrant university city in the San Francisco Bay Area known for its progressive politics, environmental activism, and the flagship campus of the University of California.
  • B. Berkeley
    Berkeley is a suburb in the Wollongong region of New South Wales, Australia, known for its residential character near Lake Illawarra.
  • C. Berkeley
    Berkeley is a small village in Providence County, Rhode Island, known primarily as a local residential community within the town of Cumberland.
  • D. Berkeley
    Berkeley is a historic English surname associated with notable aristocratic families and figures in British history.
  • E. Berkeley
    Berkeley is a historic market town in Gloucestershire, England, best known for Berkeley Castle and its association with the scientist Edward Jenner.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.