Triple

T13652928
Position Surface form Disambiguated ID Type / Status
Subject EUROCRYPT E326783 entity
Predicate sisterConference P7475 FINISHED
Object TCC E326784 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: TCC | Statement: [EUROCRYPT, sisterConference, TCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCC
Context triple: [EUROCRYPT, sisterConference, TCC]
  • A. TCC chosen
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • B. TCC
    TCC is the abbreviated name for the Technical Cooperation Committee, a body typically responsible for overseeing and guiding international technical assistance and capacity-building activities.
  • C. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • D. TCC
    TCC is the commonly used abbreviation for the Taipei City Council, the elected municipal legislature of Taipei, Taiwan.
  • E. TCC
    The TCC is a specialist court in England and Wales that handles complex technology, engineering, and construction disputes.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc609676c8190b5b1cabe6b315142 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943610488190838719ad31207c52 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:52 p.m.