Triple
T11857079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoyochi pond |
E282065
|
entity |
| Predicate | hasEcologyFeature |
P22447
|
FINISHED |
| Object | aquatic plants |
—
|
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: aquatic plants | Statement: [Kyoyochi pond, hasEcologyFeature, aquatic plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcologyFeature Context triple: [Kyoyochi pond, hasEcologyFeature, aquatic plants]
-
A.
hasEcology
Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
-
B.
hasBiodiversityFeature
chosen
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
C.
usesHabitatFeature
Indicates that an organism makes use of a particular habitat feature (such as a structure, resource, or microhabitat) as part of its behavior or life history.
-
D.
hasEcologicalProcess
Indicates that one entity exhibits, participates in, or is characterized by a particular ecological process affecting its environment or ecosystem.
-
E.
containsEcologicalTypes
Indicates that one entity includes or encompasses specific ecological types or categories within it.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.