Triple
T26034237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | curie |
E647509
|
entity |
| Predicate | conversionFromBecquerel |
P88269
|
FINISHED |
| Object | divide 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: divide by 3.7 × 10^10 | Statement: [curie, conversionFromBecquerel, divide by 3.7 × 10^10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionFromBecquerel Context triple: [curie, conversionFromBecquerel, divide 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.
conversionFromCurie
Indicates a relationship where one entity is derived by converting from a CURIE (Compact URI) representation into another form or identifier.
-
C.
typicalOccupationalDoseLimitPerYear
Indicates the standard maximum amount of radiation dose that a worker is normally allowed to receive in one year as part of their occupation.
-
D.
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).
-
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_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.