Triple
T26034236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | curie |
E647509
|
entity |
| Predicate | conversionToBecquerel |
P88269
|
FINISHED |
| Object | multiply by 3.7 × 10^10 |
—
|
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: multiply by 3.7 × 10^10 | Statement: [curie, conversionToBecquerel, multiply by 3.7 × 10^10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToBecquerel Context triple: [curie, conversionToBecquerel, multiply by 3.7 × 10^10]
-
A.
equalsInAbsorbedDoseTo
Indicates that two entities have the same value or level in terms of absorbed dose (e.g., radiation dose received).
-
B.
conversionToSIApprox
chosen
Indicates an approximate numerical conversion factor or expression that relates a given quantity or unit to its corresponding value in the International System of Units (SI).
-
C.
conversionFromCurie
Indicates a relationship where one entity is derived by converting from a CURIE (Compact URI) representation into another form or identifier.
-
D.
conversionFromElementaryCharge
Indicates the numerical factor or relationship used to convert a quantity expressed in elementary charges into another unit of electric charge.
-
E.
conversionToWeber
Indicates a relationship where a quantity is converted into an equivalent value expressed in webers, the SI unit of magnetic flux.
- 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_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 9:06 a.m.