Triple

T3499346
Position Surface form Disambiguated ID Type / Status
Subject EuroSys E73926 entity
Predicate hasAbbreviation P43 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: [EuroSys, hasAbbreviation, EuroSys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroSys
Context triple: [EuroSys, hasAbbreviation, 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. OSDI
    OSDI (Operating Systems Design and Implementation) is a premier academic conference focused on cutting-edge research in operating systems and related systems software.
  • E. 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.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd3ad548190abbfae820bf3b66d completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d2ef9c819087458a0ac02d4596 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.