Triple

T122425
Position Surface form Disambiguated ID Type / Status
Subject SIG E2477 entity
Predicate associatedWith P37 FINISHED
Object ACM 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: ACM SIGOPS | Statement: [SIG, associatedWith, ACM SIGOPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACM SIGOPS
Context triple: [SIG, associatedWith, ACM 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. International Conference on Distributed Computing Systems
    The International Conference on Distributed Computing Systems is a leading annual research conference focused on the theory, design, implementation, and applications of distributed computing and distributed systems.
  • C. SIGCOMM
    SIGCOMM is the ACM Special Interest Group focused on communications and computer networking research and practice.
  • D. ACM SIGMOBILE
    ACM SIGMOBILE is the Association for Computing Machinery’s Special Interest Group focused on mobile computing and wireless networking research and development.
  • E. Communications of the ACM
    Communications of the ACM is a leading peer-reviewed magazine that publishes articles and research on computer science and information technology for the global computing community.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a2573b4e7481909ee09d2899f8a74b completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e494ef08190b8c5b5f8d52251c8 completed Feb. 28, 2026, 7:50 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.