Triple
T13942273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SARS-CoV-2 |
E335284
|
entity |
| Predicate | inactivatedBy |
P112357
|
FINISHED |
| Object | soap |
—
|
LITERAL 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: soap | Statement: [SARS-CoV-2, inactivatedBy, soap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inactivatedBy Context triple: [SARS-CoV-2, inactivatedBy, soap]
-
A.
deactivatedIn
Indicates that an entity has been turned off, disabled, or made inactive within a specified context, system, or time frame.
-
B.
inactivationReason
Indicates the reason or cause for which an entity, status, or process has been deactivated or made inactive.
-
C.
deactivated
Indicates that an entity has been turned off, disabled, or rendered inactive so it no longer performs its usual function or role.
-
D.
deactivatedAt
Indicates the time or date at which an entity was disabled, turned off, or made inactive.
-
E.
ceasedActivityUnder
Indicates that an entity stopped performing a particular activity while under the authority, influence, or conditions imposed by another entity.
- F. None of above. chosen
Provenance (4 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.