Triple

T10640105
Position Surface form Disambiguated ID Type / Status
Subject Arapaima gigas E250697 entity
Predicate describedBy P264 FINISHED
Object Johann Baptist von Spix E407765 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: Johann Baptist von Spix | Statement: [Arapaima gigas, describedBy, Johann Baptist von Spix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johann Baptist von Spix
Context triple: [Arapaima gigas, describedBy, Johann Baptist von Spix]
  • A. Johann Baptist von Spix chosen
    Johann Baptist von Spix was a German naturalist and explorer known for his pioneering zoological research and extensive expeditions in Brazil in the early 19th century.
  • B. Carl von Martius
    Carl von Martius was a 19th-century German botanist and explorer renowned for his extensive studies of Brazilian flora and major contributions to plant taxonomy.
  • C. Johann Georg Wagler
    Johann Georg Wagler was a 19th-century German herpetologist and ornithologist known for his influential work in classifying reptiles and birds.
  • D. Wilhelm Barth
    Wilhelm Barth is a mathematician known for being a doctoral student of the influential German topologist Friedrich Hirzebruch.
  • E. Pico Bonpland
    Pico Bonpland is a prominent high-altitude mountain peak in the Venezuelan Andes, known for its rugged terrain and glaciated landscapes.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfcbe5308190986bba438d19e852 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bcd8c0c8190a0fad6a85b5604bb completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:04 p.m.