Triple

T2565747
Position Surface form Disambiguated ID Type / Status
Subject Yonsei University E57345 entity
Predicate officialColor P38100 FINISHED
Object Yonsei blue
Yonsei blue is the distinctive deep blue color traditionally associated with and prominently used in the identity and branding of Yonsei University.
E279927 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: Yonsei blue | Statement: [Yonsei University, officialColor, Yonsei blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yonsei blue
Context triple: [Yonsei University, officialColor, Yonsei blue]
  • A. Duke blue
    Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • 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. Berkeley Blue
    Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
  • E. Sky Blue
    "Sky Blue" is an abstract painting by Russian artist Wassily Kandinsky, characterized by its vibrant colors and dynamic geometric forms that exemplify his pioneering work in non-representational art.
  • 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: Yonsei blue
Triple: [Yonsei University, officialColor, Yonsei blue]
Generated description
Yonsei blue is the distinctive deep blue color traditionally associated with and prominently used in the identity and branding of Yonsei University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yonsei blue
Target entity description: Yonsei blue is the distinctive deep blue color traditionally associated with and prominently used in the identity and branding of Yonsei University.
  • A. Duke blue
    Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • 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. Berkeley Blue
    Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
  • E. Sky Blue
    "Sky Blue" is an abstract painting by Russian artist Wassily Kandinsky, characterized by its vibrant colors and dynamic geometric forms that exemplify his pioneering work in non-representational art.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35ef22c8190966612cc75f69eca completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6562d6f08190a2be483b06a789cc completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af669436208190901d1f34592c1a42 completed March 10, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69af6760cf7c8190bb681f573828049e completed March 10, 2026, 12:35 a.m.
Created at: March 6, 2026, 9:48 p.m.