Triple
T1908613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionaea muscipula |
E38057
|
entity |
| Predicate | trapMechanism |
P31461
|
FINISHED |
| Object | active movement |
—
|
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: active movement | Statement: [Dionaea muscipula, trapMechanism, active movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trapMechanism Context triple: [Dionaea muscipula, trapMechanism, active movement]
-
A.
trapType
chosen
Indicates the specific kind or category of trap associated with an entity or situation.
-
B.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
C.
openingMechanism
Indicates the method or mechanism by which an object or structure is opened or made accessible.
-
D.
transitionMechanismUsedWith
Indicates that a particular transition or change from one state to another is carried out using a specified mechanism or method.
-
E.
definesMechanism
Indicates that one entity specifies or explains the underlying process or mechanism by which another entity operates or occurs.
- 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.