Triple

T7553161
Position Surface form Disambiguated ID Type / Status
Subject Algebra II E178586 entity
Predicate publisher P29 FINISHED
Object Springer-Verlag 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-Verlag | Statement: [Algebra II, publisher, Springer-Verlag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springer-Verlag
Context triple: [Algebra II, publisher, Springer-Verlag]
  • 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. Wiley-VCH
    Wiley-VCH is a German-based scientific publishing company known for producing leading journals and books in physics, chemistry, and related fields.
  • C. Akademische Verlagsgesellschaft
    Akademische Verlagsgesellschaft was a German academic publishing house known for producing influential scientific and scholarly works in the 20th century.
  • D. Chapman and Hall
    Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
  • E. B. G. Teubner Verlag
    B. G. Teubner Verlag was a prominent German publishing house renowned for its influential scientific and mathematical works.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b8165481908285fc9697fe4c99 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856be6e1c8190ba292d4d9cf1f37f completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:49 p.m.