Triple

T574592
Position Surface form Disambiguated ID Type / Status
Subject SIGCOMM E13734 entity
Predicate abbreviation P43 FINISHED
Object SIGCOMM E13734 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: SIGCOMM | Statement: [SIGCOMM, abbreviation, SIGCOMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIGCOMM
Context triple: [SIGCOMM, abbreviation, SIGCOMM]
  • A. SIGCOMM chosen
    SIGCOMM is the ACM Special Interest Group focused on communications and computer networking research and practice.
  • B. ACM SIGMETRICS
    ACM SIGMETRICS is the Association for Computing Machinery’s Special Interest Group focused on computer system performance evaluation, measurement, and modeling.
  • C. ACM SIGMOBILE
    ACM SIGMOBILE is the Association for Computing Machinery’s Special Interest Group focused on mobile computing and wireless networking research and development.
  • D. 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.
  • E. ACM Transactions on Internet Technology
    ACM Transactions on Internet Technology is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research and developments in internet and web technologies.
  • 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_69a4ff4c3df48190a886a8d3c633d417 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.