Triple
T1908621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionaea muscipula |
E38057
|
entity |
| Predicate | digestiveEnzymes |
P31231
|
FINISHED |
| Object | proteases |
—
|
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: proteases | Statement: [Dionaea muscipula, digestiveEnzymes, proteases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digestiveEnzymes Context triple: [Dionaea muscipula, digestiveEnzymes, proteases]
-
A.
digestiveSystem
Indicates the relationship in which an entity possesses or is associated with a system responsible for breaking down food and absorbing nutrients.
-
B.
digestiveMethod
Indicates the way or process by which an entity digests or breaks down food or nutrients.
-
C.
enzymeType
chosen
Indicates the specific class or category of enzyme associated with an entity or reaction.
-
D.
fermentedFood
Indicates that one entity is a food item that has been produced or altered through a fermentation process involving microorganisms.
-
E.
proteinContent
Indicates the amount or proportion of protein present in a given entity or substance.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.