Triple
T15243467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOFR |
E364315
|
entity |
| Predicate | hasDerivedRate |
P117745
|
FINISHED |
| Object | 30-day compounded SOFR |
—
|
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: 30-day compounded SOFR | Statement: [SOFR, hasDerivedRate, 30-day compounded SOFR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDerivedRate Context triple: [SOFR, hasDerivedRate, 30-day compounded SOFR]
-
A.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
-
B.
hasDerivatives
Indicates that one entity is derived, obtained, or developed from another entity.
-
C.
hasDerivativeTerm
Indicates that one term is derived or obtained from another term, typically through a transformation, calculation, or logical inference.
-
D.
hasDerivativeCharacter
Indicates that one character is derived, adapted, or developed from another character.
-
E.
hasDerivedUnit
Indicates that one unit is derived from another unit through a defined combination of base units or mathematical operations.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.