Triple

T4075066
Position Surface form Disambiguated ID Type / Status
Subject UC Berkeley Brand and Marketing teams E86743 entity
Predicate usesBrand P1500 FINISHED
Object Berkeley Blue E86741 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 Blue | Statement: [UC Berkeley Brand and Marketing teams, usesBrand, Berkeley Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley Blue
Context triple: [UC Berkeley Brand and Marketing teams, usesBrand, Berkeley Blue]
  • A. Berkeley Blue chosen
    Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
  • B. Yale Blue
    Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
  • C. Columbia blue
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • D. Aggie Blue
    Aggie Blue is the distinctive deep blue color traditionally associated with the athletic teams and branding of the University of California, Davis.
  • E. Duke blue
    Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.