Triple
T1908605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionaea muscipula |
E38057
|
entity |
| Predicate | nativeHabitat |
P14557
|
FINISHED |
| Object | subtropical wetlands |
—
|
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: subtropical wetlands | Statement: [Dionaea muscipula, nativeHabitat, subtropical wetlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeHabitat Context triple: [Dionaea muscipula, nativeHabitat, subtropical wetlands]
-
A.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
B.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
formerHabitat
Indicates that a location once served as a habitat for an entity but no longer does.
-
D.
isMajorHabitatFor
chosen
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
E.
naturalOccurrence
Indicates that the related event or phenomenon happens in nature without direct human intervention or artificial cause.
- 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.