Triple

T10055410
Position Surface form Disambiguated ID Type / Status
Subject Grundzüge der theoretischen Logik E208848 entity
Predicate publisher P29 FINISHED
Object Springer E87773 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: Springer | Statement: [Grundzüge der theoretischen Logik, publisher, Springer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springer
Context triple: [Grundzüge der theoretischen Logik, publisher, Springer]
  • A. Springer chosen
    Springer is a major global academic publishing company known for its extensive catalog of scientific, technical, and medical books and journals.
  • B. Springer
    Springer is a surname most prominently associated in contemporary sports with George Springer, an American professional baseball outfielder and World Series MVP.
  • C. Birkhäuser
    Birkhäuser is a Swiss-based academic publishing house renowned for its high-quality books and journals in architecture, design, and the natural sciences.
  • D. Elsevier
    Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
  • E. Wiley
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfacacd08190abe66f8bb17b92c7 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a49cb208190b56d991a523efbac completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.