Triple

T11016149
Position Surface form Disambiguated ID Type / Status
Subject The Calculus of Computation E260370 entity
Predicate hasPublisher P1760 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: [The Calculus of Computation, hasPublisher, Springer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springer
Context triple: [The Calculus of Computation, hasPublisher, 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. John Wiley & Sons
    John Wiley & Sons is a global publishing company known for its academic, professional, and educational books, journals, and digital content.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a558a08190bdb5779faa9adf05 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.