Triple

T483233
Position Surface form Disambiguated ID Type / Status
Subject Physical Review X E9815 entity
Predicate indexingService P6000 FINISHED
Object INSPIRE-HEP E29383 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: INSPIRE-HEP | Statement: [Physical Review X, indexingService, INSPIRE-HEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INSPIRE-HEP
Context triple: [Physical Review X, indexingService, INSPIRE-HEP]
  • A. INSPIRE-HEP chosen
    INSPIRE-HEP is a leading digital library and information system for high-energy physics literature, providing comprehensive indexing, citation data, and research tools for the global particle physics community.
  • B. DBLP
    DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
  • C. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • D. Web of Science
    Web of Science is a major multidisciplinary citation indexing and abstracting database widely used for academic research and bibliometric analysis.
  • E. INSPEC
    INSPEC is a major bibliographic database produced by the Institution of Engineering and Technology that indexes scientific and technical literature in physics, engineering, and related disciplines.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0b8fe6081909f8ab87bfda6b2d8 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a46c622e648190b6d687fb8efa2123 completed March 1, 2026, 4:42 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.