Triple
T1375028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shark River Slough |
E29201
|
entity |
| Predicate | ecosystemTypeInfluenced |
P5628
|
FINISHED |
| Object | sawgrass marshes |
—
|
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: sawgrass marshes | Statement: [Shark River Slough, ecosystemTypeInfluenced, sawgrass marshes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecosystemTypeInfluenced Context triple: [Shark River Slough, ecosystemTypeInfluenced, sawgrass marshes]
-
A.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
B.
hasEnvironmentalImpactOn
chosen
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
C.
environmentalSignificance
Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
-
D.
hasEcology
Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
-
E.
primaryEcosystem
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2f7aeb08190b52ef1058c18327e |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.