Triple
T21243309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redfield ratio |
E523536
|
entity |
| Predicate | hasCarbonToNitrogenRatio |
P143345
|
FINISHED |
| Object | C:N = 106:16 |
—
|
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: C:N = 106:16 | Statement: [Redfield ratio, hasCarbonToNitrogenRatio, C:N = 106:16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarbonToNitrogenRatio Context triple: [Redfield ratio, hasCarbonToNitrogenRatio, C:N = 106:16]
-
A.
hasTypicalCarbonContentRange
Indicates the usual lower and upper bounds of carbon content typically found in or associated with an entity.
-
B.
carbonateContent
Indicates the proportion or amount of carbonate present in a given material or sample.
-
C.
hasNitrogenousBase
Indicates that one entity possesses or is associated with a specific nitrogenous base as a component or characteristic.
-
D.
isotopicRatioWithNitrogen15Notation
Indicates the relationship in which an entity’s nitrogen-15 isotopic ratio is expressed using a specific notation or reporting format.
-
E.
fractionOfAtmosphericNitrogen
Indicates the proportion of atmospheric nitrogen that is attributed to, contained in, or associated with a given entity or context.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352507448190ba1f14cef16d69be |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:47 p.m.