Triple

T13652930
Position Surface form Disambiguated ID Type / Status
Subject EUROCRYPT E326783 entity
Predicate sisterConference P7475 FINISHED
Object FSE E434698 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: FSE | Statement: [EUROCRYPT, sisterConference, FSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FSE
Context triple: [EUROCRYPT, sisterConference, FSE]
  • A. FSE
    FSE is the Faculty of Science and Engineering at the University of Groningen, encompassing a broad range of natural sciences, engineering, and technology disciplines.
  • B. FSE chosen
    FSE (Fast Software Encryption) is a leading international research conference focused on the design and analysis of symmetric-key cryptographic primitives and algorithms.
  • C. FSE
    FSE is a premier international research conference on software engineering organized under ACM SIGSOFT.
  • D. FST
    FST is the commonly used abbreviation for the UK government ministerial post of Financial Secretary to the Treasury, a key role within HM Treasury responsible for economic and financial matters.
  • E. FSR
    FSR is a periodic publication by central banks or financial authorities that assesses risks and vulnerabilities in the financial system to support economic stability and policy decisions.
  • 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_69f78affa3c481909dba71e2ce9f44c1 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.