Triple
T18598474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okefenokee Swamp Park |
E454555
|
entity |
| Predicate | ecosystemTypeInterpreted |
P31280
|
FINISHED |
| Object | wetland |
—
|
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: wetland | Statement: [Okefenokee Swamp Park, ecosystemTypeInterpreted, wetland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecosystemTypeInterpreted Context triple: [Okefenokee Swamp Park, ecosystemTypeInterpreted, wetland]
-
A.
ecosystemRepresentation
Indicates that one entity serves as a model, depiction, or abstraction of an ecosystem, capturing its components, structure, or dynamics.
-
B.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
C.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
D.
isEcologicalZone
chosen
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
E.
ecosystemReconstruction
Indicates the process of restoring or recreating an ecosystem’s structure, function, and components, often after disturbance or degradation.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474d934481909b4afd5ef9031c73 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.