Triple
T16585359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEV-1 |
E402941
|
entity |
| Predicate | modeledAfter |
P2006
|
FINISHED |
| Object | SARS coronavirus |
E1070488
|
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: SARS coronavirus | Statement: [MEV-1, modeledAfter, SARS coronavirus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SARS coronavirus Context triple: [MEV-1, modeledAfter, SARS coronavirus]
-
A.
SARS-CoV
chosen
SARS-CoV is the coronavirus responsible for the 2002–2004 SARS outbreak, causing severe respiratory illness in humans.
-
B.
SARS-CoV-2
SARS-CoV-2 is the novel coronavirus responsible for the global outbreak of the respiratory disease COVID-19.
-
C.
MERS-CoV
MERS-CoV is the coronavirus responsible for Middle East Respiratory Syndrome, a severe respiratory illness first identified in Saudi Arabia in 2012.
-
D.
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.
-
E.
Hendra virus
Hendra virus is a highly lethal zoonotic virus originating in fruit bats that can infect horses and humans, causing severe respiratory and neurological disease.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef4f17c819095b3c6f8644b687b |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.