Triple

T12109908
Position Surface form Disambiguated ID Type / Status
Subject Isabella Niven Wilder E288396 entity
Predicate residence P75 FINISHED
Object Berkeley, California E22332 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: Berkeley, California | Statement: [Isabella Niven Wilder, residence, Berkeley, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley, California
Context triple: [Isabella Niven Wilder, residence, Berkeley, California]
  • A. Berkeley
    Berkeley is a suburb in the Wollongong region of New South Wales, Australia, known for its residential character near Lake Illawarra.
  • B. Berkeley chosen
    Berkeley is a culturally vibrant and politically progressive city in California’s San Francisco Bay Area, known for its historic association with higher education and social activism.
  • 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 (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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67b3f2c8190bcb2120781f91220 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:49 p.m.