Triple

T16194957
Position Surface form Disambiguated ID Type / Status
Subject Ashby station E393037 entity
Predicate servesCity P82 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: [Ashby station, servesCity, Berkeley, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley, California
Context triple: [Ashby station, servesCity, 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 historic market town in Gloucestershire, England, best known for Berkeley Castle and its association with the scientist Edward Jenner.
  • D. Berkeley
    Berkeley is a small village in Providence County, Rhode Island, known primarily as a local residential community within the town of Cumberland.
  • E. Berkeley
    Berkeley is a historic English surname associated with notable aristocratic families and figures in British history.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d851188190b2452d165e4fc4bd completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffef0f51c8190bc039150af8ebf98 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.