Triple

T7865033
Position Surface form Disambiguated ID Type / Status
Subject Book Citation Index E182594 entity
Predicate partOf P40 FINISHED
Object Web of Science E34023 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: Web of Science | Statement: [Book Citation Index, partOf, Web of Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Web of Science
Context triple: [Book Citation Index, partOf, Web of Science]
  • A. Web of Science chosen
    Web of Science is a major multidisciplinary citation indexing and abstracting database widely used for academic research and bibliometric analysis.
  • B. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • C. Science Citation Index
    The Science Citation Index is a multidisciplinary citation database that tracks and indexes scientific journal articles to measure research impact and facilitate literature discovery.
  • D. SCImago Research Group
    SCImago Research Group is an academic research organization best known for creating bibliometric indicators and journal rankings that analyze and visualize scientific output and impact worldwide.
  • E. Clarivate Analytics
    Clarivate Analytics is a global analytics company specializing in providing research, citation, patent, and intellectual property data and tools for academia, corporations, and governments.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36c0eaa48190a0df4c37c726546e completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5615a38c8190b11af9fe5b2e1422 completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:54 p.m.