Triple

T17262094
Position Surface form Disambiguated ID Type / Status
Subject Biota Holdings E419031 entity
Predicate abbreviation P43 FINISHED
Object Biota
Biota is an Australian biotechnology company known for developing antiviral therapies, including treatments for influenza.
 E1258401 NE FINISHED

How this triple was built (4 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: Biota | Statement: [Biota Holdings, abbreviation, Biota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Biota
Context triple: [Biota Holdings, abbreviation, Biota]
  • A. Animalia
    Animalia is the biological kingdom comprising all multicellular animals, characterized by eukaryotic, heterotrophic organisms that typically have specialized tissues and the ability to move.
  • B. Fauna
    Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
  • C. Fauna
    Fauna is a central character in John Steinbeck’s novel "Sweet Thursday," known as the sharp-witted, maternal madam who oversees the Bear Flag brothel in Cannery Row.
  • D. Fauna
    Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
  • E. Plankton
    Plankton is a tiny, scheming villain from the animated series "SpongeBob SquarePants," known for constantly plotting to steal the Krabby Patty secret formula.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Biota
Triple: [Biota Holdings, abbreviation, Biota]
Generated description
Biota is an Australian biotechnology company known for developing antiviral therapies, including treatments for influenza.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Biota
Target entity description: Biota is an Australian biotechnology company known for developing antiviral therapies, including treatments for influenza.
  • A. Animalia
    Animalia is the biological kingdom comprising all multicellular animals, characterized by eukaryotic, heterotrophic organisms that typically have specialized tissues and the ability to move.
  • B. Fauna
    Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
  • C. Fauna
    Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
  • D. Fauna
    Fauna is a central character in John Steinbeck’s novel "Sweet Thursday," known as the sharp-witted, maternal madam who oversees the Bear Flag brothel in Cannery Row.
  • E. Plankton
    Plankton is a tiny, scheming villain from the animated series "SpongeBob SquarePants," known for constantly plotting to steal the Krabby Patty secret formula.
  • F. None of above. chosen

Provenance (5 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a0171c1b5fc81908455cda0df277ea9 completed May 11, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a01724c4e34819099168d7303a31498 completed May 11, 2026, 6:08 a.m.
Created at: April 10, 2026, 5:39 a.m.