Triple
T1908620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionaea muscipula |
E38057
|
entity |
| Predicate | digestionMethod |
P31230
|
FINISHED |
| Object | enzymatic digestion |
—
|
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: enzymatic digestion | Statement: [Dionaea muscipula, digestionMethod, enzymatic digestion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digestionMethod Context triple: [Dionaea muscipula, digestionMethod, enzymatic digestion]
-
A.
digestiveMethod
chosen
Indicates the way or process by which an entity digests or breaks down food or nutrients.
-
B.
digestiveSystem
Indicates the relationship in which an entity possesses or is associated with a system responsible for breaking down food and absorbing nutrients.
-
C.
consumptionMethod
Indicates the manner or process by which something is consumed, used up, or ingested.
-
D.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
E.
metabolismType
Indicates the kind of metabolic process or pathway an entity uses to obtain and transform energy or nutrients.
- 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.