Triple

T15688557
Position Surface form Disambiguated ID Type / Status
Subject Logo E380264 entity
Predicate influenced P9 FINISHED
Object UCBLogo E14675 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: UCBLogo | Statement: [Logo, influenced, UCBLogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCBLogo
Context triple: [Logo, influenced, UCBLogo]
  • A. UCB
    UCB is a specialist university in Birmingham, England, known for its vocational and professional courses in areas such as hospitality, tourism, and culinary arts.
  • B. UC Berkeley wordmarks chosen
    UC Berkeley wordmarks are the official typographic logos of the University of California, Berkeley, typically featuring its name in distinctive fonts and colors for branding and identification.
  • C. UCV
    UCV is the commonly used abbreviation for the Central University of Venezuela, a major public university in Caracas and one of the country’s most important higher education institutions.
  • D. BCU
    BCU is the IATA airport code for Sir Abubakar Tafawa Balewa International Airport serving Bauchi, Nigeria.
  • E. CUC
    CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee91340819086c8f51e8eb477aa completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.