Triple

T14543
Position Surface form Disambiguated ID Type / Status
Subject University of California, Berkeley E290 entity
Predicate abbreviation P43 FINISHED
Object Cal E26 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: Cal | Statement: [University of California, Berkeley, abbreviation, Cal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cal
Context triple: [University of California, Berkeley, abbreviation, Cal]
  • A. Zzyzx, California
    Zzyzx, California is a remote former health spa site and unincorporated community in the Mojave Desert, best known for its unusual name and location near Soda Dry Lake along Interstate 15.
  • B. California, United States chosen
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • C. Long Beach
    Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
  • D. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • E. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a240014418819090625e2fb774a2e6 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25aadb9ac8190b35b13454e86df76 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.