Triple
T4162098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glycine max |
E91553
|
entity |
| Predicate | proteinContentRange |
P32526
|
FINISHED |
| Object | 35–40 percent of seed dry weight |
—
|
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: 35–40 percent of seed dry weight | Statement: [Glycine max, proteinContentRange, 35–40 percent of seed dry weight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proteinContentRange Context triple: [Glycine max, proteinContentRange, 35–40 percent of seed dry weight]
-
A.
proteinContent
chosen
Indicates the amount or proportion of protein present in a given entity or substance.
-
B.
hasProteinBinding
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
-
C.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
D.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
E.
genomeSizeRange
Indicates the range of genome sizes associated with or observed for an entity.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.