Triple

T723795
Position Surface form Disambiguated ID Type / Status
Subject UC Berkeley wordmarks E14675 entity
Predicate colorScheme P60 FINISHED
Object Berkeley Blue
Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
 E86741 NE FINISHED

How this triple was built (4 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 wordmarks, colorScheme, Berkeley Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berkeley Blue
Context triple: [UC Berkeley wordmarks, colorScheme, Berkeley Blue]
  • A. Yale Blue
    Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
  • B. Duke blue
    Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • C. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • D. Berkeley
    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.
  • E. the Blue
    The Blue is the traditional nickname and spirit symbol representing Phillips Academy Andover’s athletic teams and school community.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berkeley Blue
Triple: [UC Berkeley wordmarks, colorScheme, Berkeley Blue]
Generated description
Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berkeley Blue
Target entity description: Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
  • A. Yale Blue
    Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
  • B. Duke blue
    Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • C. Oxford blue
    Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
  • D. Berkeley
    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.
  • E. the Blue
    The Blue is the traditional nickname and spirit symbol representing Phillips Academy Andover’s athletic teams and school community.
  • F. None of above. chosen

Provenance (5 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375c16488190a8509e1e2b5c6a7d completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63bb28e1c8190bb363ef7d389dddd completed March 3, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69a63c2ac310819095eacf5017a637f2 completed March 3, 2026, 1:40 a.m.
Created at: March 1, 2026, 7:37 p.m.