Triple

T15151455
Position Surface form Disambiguated ID Type / Status
Subject Systema Reptilium E361951 entity
Predicate author P4 FINISHED
Object Leopold Fitzinger E73351 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: Leopold Fitzinger | Statement: [Systema Reptilium, author, Leopold Fitzinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopold Fitzinger
Context triple: [Systema Reptilium, author, Leopold Fitzinger]
  • A. Leopold Fitzinger chosen
    Leopold Fitzinger was a 19th-century Austrian zoologist and herpetologist known for his influential taxonomic work on reptiles and amphibians.
  • B. Johann Georg Wagler
    Johann Georg Wagler was a 19th-century German herpetologist and ornithologist known for his influential work in classifying reptiles and birds.
  • C. Alexander Koenig
    Alexander Koenig was a German zoologist and naturalist best known for founding the Museum Koenig in Bonn.
  • D. Statius Müller
    Statius Müller was an 18th-century German zoologist and ornithologist known for his early taxonomic descriptions of numerous animal species.
  • E. Johann Wilhelm Meigen
    Johann Wilhelm Meigen was a pioneering German entomologist renowned for his foundational work in the classification and description of Diptera (true flies).
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00609040081908c849475a2fa6443 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff44ef081908db5826c2626df06 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.