Triple
T26034224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | curie |
E647509
|
entity |
| Predicate | SIUnitRelation |
P73885
|
FINISHED |
| Object | 1 Ci = 3.7 × 10^10 Bq |
—
|
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 Ci = 3.7 × 10^10 Bq | Statement: [curie, SIUnitRelation, 1 Ci = 3.7 × 10^10 Bq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SIUnitRelation Context triple: [curie, SIUnitRelation, 1 Ci = 3.7 × 10^10 Bq]
-
A.
standardUnitRelation
Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
-
B.
SIBaseUnitRelation
Indicates a relationship where one physical quantity or unit is defined, measured, or expressed in terms of one or more SI base units.
-
C.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
D.
hasNonSIUnitRelation
chosen
Indicates a relationship where one entity is associated with another through a measurement or quantity expressed in a non–SI (non–International System of Units) unit.
-
E.
SIUnitSymbol
Indicates the standardized symbol used to represent a quantity in the International System of Units (SI).
- 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_69f6061bfb248190af47ba49de93abfc |
completed | May 2, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:06 a.m.