Triple

T6543477
Position Surface form Disambiguated ID Type / Status
Subject ChemCatChem E168346 entity
Predicate publisher P29 FINISHED
Object Wiley-VCH E31551 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: Wiley-VCH | Statement: [ChemCatChem, publisher, Wiley-VCH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiley-VCH
Context triple: [ChemCatChem, publisher, Wiley-VCH]
  • A. Wiley-VCH chosen
    Wiley-VCH is a German-based scientific publishing company known for producing leading journals and books in physics, chemistry, and related fields.
  • B. Wiley
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • 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. Elsevier
    Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6adeb54d88190a3199f9a517d7232 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eed36a7081909cb70b79f18b0dfc completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:50 p.m.