Triple
T30036161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalkaska sand |
E763162
|
entity |
| Predicate | organicMatterContent |
P180249
|
FINISHED |
| Object | low to moderate |
—
|
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: low to moderate | Statement: [Kalkaska sand, organicMatterContent, low to moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organicMatterContent Context triple: [Kalkaska sand, organicMatterContent, low to moderate]
-
A.
typicalMoistureContent
Indicates the usual or characteristic amount of moisture present in or associated with an entity under normal conditions.
-
B.
carbonateContent
Indicates the proportion or amount of carbonate present in a given material or sample.
-
C.
hasCarbonToNitrogenRatio
Indicates the proportional relationship between the amount of carbon and the amount of nitrogen present in or associated with an entity.
-
D.
carbonContent
Indicates the amount or proportion of carbon present in a given substance, material, or entity.
-
E.
soilFertility
Indicates the level or quality of nutrients and conditions in soil that affect its ability to support plant growth.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 29, 2026, 6:51 p.m.