Triple

T166116
Position Surface form Disambiguated ID Type / Status
Subject IEEE Computer E3017 entity
Predicate indexedIn P1393 FINISHED
Object Web of Science E16667 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: [IEEE Computer, indexedIn, Web of Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Web of Science
Context triple: [IEEE Computer, indexedIn, Web of Science]
  • A. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • B. Science Citation Index chosen
    The Science Citation Index is a multidisciplinary citation database that tracks and indexes scientific journal articles to measure research impact and facilitate literature discovery.
  • C. Ei Compendex
    Ei Compendex is a comprehensive engineering literature database that indexes scientific and technical research publications across a wide range of engineering disciplines.
  • D. DOI
    DOI is the commonly used abbreviation for the United States Department of the Interior, the federal executive department responsible for managing the nation’s natural resources and public lands.
  • E. IEEE Xplore Digital Library
    IEEE Xplore Digital Library is an online research platform providing access to a vast collection of scientific and technical literature in electrical engineering, computer science, and related fields.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25bae79b48190abfd247410e5918f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f6b8908190b4eec4a34e9447db completed Feb. 28, 2026, 12:35 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.