Triple
T36283391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetlands Institute |
E893003
|
entity |
| Predicate | environmentTypeStudied |
P853
|
FINISHED |
| Object | salt 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: salt marshes | Statement: [Wetlands Institute, environmentTypeStudied, salt marshes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentTypeStudied Context triple: [Wetlands Institute, environmentTypeStudied, salt marshes]
-
A.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentSubtype
Indicates that one environment is a more specific subtype or category within another, more general environment.
-
C.
livingEnvironment
Indicates the type of surroundings or conditions in which an entity lives or exists.
-
D.
environmentClass
Indicates that an entity belongs to, or is categorized within, a particular type or class of environment.
-
E.
environmentSpecialization
Indicates that an entity is specifically adapted or tailored to operate within a particular environment or set of environmental conditions.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.