Triple
T4162133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glycine max |
E91553
|
entity |
| Predicate | fattyAcid |
P54189
|
FINISHED |
| Object | linoleic acid |
—
|
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: linoleic acid | Statement: [Glycine max, fattyAcid, linoleic acid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fattyAcid Context triple: [Glycine max, fattyAcid, linoleic acid]
-
A.
typicalFatContent
Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
-
B.
typicalFatUsed
Indicates that a particular type of fat is commonly or characteristically used in a given context or application.
-
C.
membraneLipidType
Indicates the specific type or class of lipid that composes or is associated with a membrane.
-
D.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
E.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
- 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_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. |
| PDg | Predicate description generation | batch_69af0320775c8190b90d80f512060f1c |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.