Triple

T574677
Position Surface form Disambiguated ID Type / Status
Subject SIGOPS E13736 entity
Predicate abbreviation P43 FINISHED
Object SIGOPS 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: SIGOPS | Statement: [SIGOPS, abbreviation, SIGOPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIGOPS
Context triple: [SIGOPS, abbreviation, SIGOPS]
  • 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. 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.
  • C. ACM Transactions on Computer Systems
    ACM Transactions on Computer Systems is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in the design, implementation, and evaluation of computer systems.
  • D. 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.
  • E. SIGPLAN
    SIGPLAN is the ACM Special Interest Group on Programming Languages, focusing on research, development, and education in programming language design and implementation.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4c23548190a3b883239c7c78c8 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.