Triple

T6551102
Position Surface form Disambiguated ID Type / Status
Subject Comptes Rendus Chimie E151129 entity
Predicate publisher P29 FINISHED
Object Elsevier E91281 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: Elsevier | Statement: [Comptes Rendus Chimie, publisher, Elsevier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsevier
Context triple: [Comptes Rendus Chimie, publisher, Elsevier]
  • A. Elsevier chosen
    Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
  • B. Nature Publishing Group
    Nature Publishing Group is a major scientific publishing company best known for producing the prestigious journal Nature and other high-impact research publications across the natural sciences.
  • C. Wiley-Blackwell
    Wiley-Blackwell is a major academic and professional publishing company known for producing scholarly journals and books across a wide range of disciplines.
  • D. Springer
    Springer is a major global academic publishing company known for its extensive catalog of scientific, technical, and medical books and journals.
  • E. Wiley-VCH
    Wiley-VCH is a German-based scientific publishing company known for producing leading journals and books in physics, chemistry, 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae05cd988190a013226b14cd98f0 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55416e48190b574e37a6f2e6690 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:51 p.m.