Triple

T574639
Position Surface form Disambiguated ID Type / Status
Subject SIGIR E13735 entity
Predicate abbreviation P43 FINISHED
Object SIGIR E13735 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: SIGIR | Statement: [SIGIR, abbreviation, SIGIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIGIR
Context triple: [SIGIR, abbreviation, SIGIR]
  • A. SIGIR chosen
    SIGIR is a leading ACM Special Interest Group focused on advancing research and development in information retrieval and search technologies.
  • B. ACM Transactions on the Web
    ACM Transactions on the Web is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research and developments related to web technologies and applications.
  • C. SIGKDD
    SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
  • D. SIGMOD
    SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
  • E. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
    The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems is a leading annual research conference focused on innovations in spatial databases, geographic information systems, and related spatial data 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_69a501bfb6408190bf7e1f462f39723d completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:33 p.m.