Triple
T21243311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redfield ratio |
E523536
|
entity |
| Predicate | hasCarbonToPhosphorusRatio |
P99391
|
FINISHED |
| Object | C:P = 106:1 |
—
|
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:P = 106:1 | Statement: [Redfield ratio, hasCarbonToPhosphorusRatio, C:P = 106:1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarbonToPhosphorusRatio Context triple: [Redfield ratio, hasCarbonToPhosphorusRatio, C:P = 106:1]
-
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.
hasAverageCompositionByVolume
Indicates that one entity has another entity as its specified average proportion of total volume in a mixture or system.
-
D.
hasChemicalProperty
chosen
Indicates that an entity possesses or exhibits a specific chemical property or characteristic.
-
E.
hasPrimaryCarbohydrate
Indicates that one entity has another entity as its main or principal carbohydrate component.
- 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_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. |
Created at: April 16, 2026, 3:47 p.m.