Triple

T8865309
Position Surface form Disambiguated ID Type / Status
Subject Fantasy Records E211003 entity
Predicate headquartersLocation P62 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: [Fantasy Records, headquartersLocation, Berkeley, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley, California
Context triple: [Fantasy Records, headquartersLocation, 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610569d08190b108107dfe397f18 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0d311148190823cc047e2908bc0 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.