Triple

T15131670
Position Surface form Disambiguated ID Type / Status
Subject OSDI E361434 entity
Predicate relatedConference P3308 FINISHED
Object 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: SOSP | Statement: [OSDI, relatedConference, SOSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOSP
Context triple: [OSDI, relatedConference, 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. OSDI
    OSDI (Operating Systems Design and Implementation) is a premier academic conference focused on cutting-edge research in operating systems and related systems software.
  • C. OSDI
    OSDI is the ICAO airport code for Damascus International Airport, the main international gateway serving Syria’s capital city.
  • 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. NSDI
    NSDI (USENIX Symposium on Networked Systems Design and Implementation) is a leading academic conference focused on the design, implementation, and practical evaluation of networked and distributed systems.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.