Triple
T26034243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | curie |
E647509
|
entity |
| Predicate | submultipleDefinition |
P26378
|
FINISHED |
| Object | 1 µCi = 10^-6 Ci |
—
|
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: 1 µCi = 10^-6 Ci | Statement: [curie, submultipleDefinition, 1 µCi = 10^-6 Ci]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: submultipleDefinition Context triple: [curie, submultipleDefinition, 1 µCi = 10^-6 Ci]
-
A.
submultipleRelation
chosen
Indicates that one quantity is an exact submultiple of another, meaning it divides the other quantity into an integer number of equal parts.
-
B.
typicalSubmultiples
Indicates that one quantity represents a standard or commonly used fractional multiple of another quantity (e.g., milli-, micro-, kilo- as typical submultiples).
-
C.
definesSubunit
Indicates that one entity specifies or establishes another entity as its subordinate component or part within a larger structure.
-
D.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
E.
minorUnitSubdivisions
Indicates that one administrative or organizational unit is subdivided into smaller, subordinate units.
- F. None of above.
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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 9:06 a.m.