Triple

T13084375
Position Surface form Disambiguated ID Type / Status
Subject Cal E310291 entity
Predicate abbreviation P43 FINISHED
Object UCB E399679 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: UCB | Statement: [Cal, abbreviation, UCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCB
Context triple: [Cal, abbreviation, UCB]
  • A. UCB chosen
    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. 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.
  • C. UCI
    UCI is the international governing body for cycling, responsible for overseeing competitive cycling events and setting global rules and standards for the sport.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.