Triple

T4599518
Position Surface form Disambiguated ID Type / Status
Subject Engineering Village E100288 entity
Predicate ownedBy P347 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: [Engineering Village, ownedBy, Elsevier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsevier
Context triple: [Engineering Village, ownedBy, 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0349e89c8190a94e72bdc1e4e59f completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:11 p.m.