Triple
T17871649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vir Biotechnology |
E446849
|
entity |
| Predicate | hasResearchArea |
P934
|
FINISHED |
| Object | SARS-CoV-2 |
—
|
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: SARS-CoV-2 | Statement: [Vir Biotechnology, hasResearchArea, SARS-CoV-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SARS-CoV-2 Context triple: [Vir Biotechnology, hasResearchArea, SARS-CoV-2]
-
A.
SARS-CoV-2
chosen
SARS-CoV-2 is the novel coronavirus responsible for the global outbreak of the respiratory disease COVID-19.
-
B.
SARS-CoV
SARS-CoV is the coronavirus responsible for the 2002–2004 SARS outbreak, causing severe respiratory illness in humans.
-
C.
Betacoronavirus
Betacoronavirus is a genus of enveloped, positive-sense RNA viruses that includes several notable human and animal pathogens, such as the viruses causing SARS, MERS, and COVID-19.
-
D.
Omicron variant
The Omicron variant is a highly mutated and fast-spreading strain of the SARS-CoV-2 virus that caused major global surges in COVID-19 cases starting in late 2021.
-
E.
Omicron
Omicron is a vowel letter of the Greek alphabet, historically representing a short "o" sound and used today in various scientific and mathematical contexts.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa30ff8819090c51c1d7767e952 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.