Triple

T22503655
Position Surface form Disambiguated ID Type / Status
Subject BIOVIA E556335 entity
Predicate hasProduct P3585 FINISHED
Object BIOVIA CISPro NE NERFINISHED

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: BIOVIA CISPro | Statement: [BIOVIA, hasProduct, BIOVIA CISPro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BIOVIA CISPro
Context triple: [BIOVIA, hasProduct, BIOVIA CISPro]
  • A. BIOVIA chosen
    BIOVIA is a Dassault Systèmes software brand focused on scientific informatics and molecular modeling solutions for life sciences, materials science, and chemistry.
  • B. AquaLogic Pathways
    AquaLogic Pathways is a BEA AquaLogic product module that provides business process and workflow management capabilities within the AquaLogic SOA platform.
  • C. Biolab
    Biolab is a European Space Agency life sciences research facility on the International Space Station designed to study the effects of microgravity on biological organisms and processes.
  • D. Element Biosciences
    Element Biosciences is a biotechnology company that develops next-generation DNA sequencing platforms and technologies for genomic research.
  • E. Analytika protera
    Analytika protera is Aristotle’s foundational treatise on syllogistic logic and deductive reasoning, forming a core part of his Organon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5a01888190ba65a05616b63cbe completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.