Triple
T22503656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BIOVIA |
E556335
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | BIOVIA Insight |
—
|
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 Insight | Statement: [BIOVIA, hasProduct, BIOVIA Insight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BIOVIA Insight Context triple: [BIOVIA, hasProduct, BIOVIA Insight]
-
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.
DNAnexus
DNAnexus is a cloud-based genomics and bioinformatics platform that enables large-scale DNA data analysis, management, and collaboration for research and clinical applications.
-
D.
Analytika protera
Analytika protera is Aristotle’s foundational treatise on syllogistic logic and deductive reasoning, forming a core part of his Organon.
-
E.
TIBCO Spotfire
TIBCO Spotfire is an analytics and business intelligence platform that enables users to perform interactive data visualization, exploration, and advanced analytics.
- 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.