Triple
T3833542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VX |
E91072
|
entity |
| Predicate | LCt50InhalationHumanEstimate |
P52269
|
FINISHED |
| Object | about 30–50 mg·min/m³ |
—
|
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: about 30–50 mg·min/m³ | Statement: [VX, LCt50InhalationHumanEstimate, about 30–50 mg·min/m³]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LCt50InhalationHumanEstimate Context triple: [VX, LCt50InhalationHumanEstimate, about 30–50 mg·min/m³]
-
A.
isInhaled
Indicates that one entity is taken into another entity through breathing or suction into an internal space such as lungs or airways.
-
B.
oxygenValueApprox
Indicates that the oxygen value of an entity is approximately equal to a specified reference value, within an acceptable margin of error.
-
C.
heightEstimate
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
-
D.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
E.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb88b8a8819082d4bdbc5bc45366 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:17 p.m.