Triple

T4021293
Position Surface form Disambiguated ID Type / Status
Subject Google Scholar E91284 entity
Predicate mainDomain P1902 FINISHED
Object scholar.google.com E91284 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: scholar.google.com | Statement: [Google Scholar, mainDomain, scholar.google.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: scholar.google.com
Context triple: [Google Scholar, mainDomain, scholar.google.com]
  • A. Google Scholar chosen
    Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
  • B. Semantic Scholar
    Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
  • C. CiteSeerX
    CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
  • D. DBLP
    DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
  • E. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefacb4c208190b8dd595a534850b2 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.