Triple

T3450828
Position Surface form Disambiguated ID Type / Status
Subject ACM conferences E72789 entity
Predicate include P1393 FINISHED
Object ACM SOSP E73300 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 SOSP | Statement: [ACM conferences, include, ACM SOSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACM SOSP
Context triple: [ACM conferences, include, ACM SOSP]
  • A. SOSP chosen
    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.
  • B. 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.
  • C. 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.
  • D. ACM SIGARCH
    ACM SIGARCH is a special interest group of the Association for Computing Machinery focused on computer architecture research, education, and community-building.
  • E. EuroSys
    EuroSys is a leading European conference focused on computer systems research, covering topics such as operating systems, distributed systems, and systems security.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7324508190b07943cec3ecdb59 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360eb7ad08190865e62228365d530 completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.