Triple

T3472768
Position Surface form Disambiguated ID Type / Status
Subject SOSP E73300 entity
Predicate relatedConference P3308 FINISHED
Object EuroSys E73926 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: EuroSys | Statement: [SOSP, relatedConference, EuroSys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroSys
Context triple: [SOSP, relatedConference, EuroSys]
  • A. EuroSys chosen
    EuroSys is a leading European conference focused on computer systems research, covering topics such as operating systems, distributed systems, and systems security.
  • B. SOSP
    SOSP (Symposium on Operating Systems Principles) is a premier academic conference focused on cutting-edge research in operating systems and related areas of computer systems.
  • C. PPoPP
    PPoPP is a leading ACM conference focused on principles and practice of parallel programming, covering research in parallel architectures, languages, compilers, and runtime systems.
  • D. SIGOPS
    SIGOPS is the ACM Special Interest Group on Operating Systems, a professional community focused on research and innovation in operating systems and related software systems.
  • E. ACM SIGARCH
    ACM SIGARCH is a special interest group of the Association for Computing Machinery focused on computer architecture research, education, and community-building.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36810958c81908982e0ef996dc480 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.