Triple

T3499310
Position Surface form Disambiguated ID Type / Status
Subject EuroSys E73926 entity
Predicate organizer P123 FINISHED
Object ACM SIGOPS Europe E13736 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: ACM SIGOPS Europe | Statement: [EuroSys, organizer, ACM SIGOPS Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACM SIGOPS Europe
Context triple: [EuroSys, organizer, ACM SIGOPS Europe]
  • A. SIGOPS chosen
    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.
  • 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. EuroSys
    EuroSys is a leading European conference focused on computer systems research, covering topics such as operating systems, distributed systems, and systems security.
  • D. ACM SIGSAC
    ACM SIGSAC is the Association for Computing Machinery’s Special Interest Group on Security, Audit and Control, focusing on research and community-building in computer and information security.
  • 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_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_69b37e67f68081909766d78ee24e9e6e completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.