Triple
T35204338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapa natans |
E1016492
|
entity |
| Predicate | consideredInvasiveIn |
P6138
|
FINISHED |
| Object | North America |
—
|
NE NERFINISHED |
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: North America | Statement: [Trapa natans, consideredInvasiveIn, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consideredInvasiveIn Context triple: [Trapa natans, consideredInvasiveIn, North America]
-
A.
isInvasive
Indicates that one entity intrudes upon, spreads into, or encroaches on another entity or environment in a disruptive or unwanted manner.
-
B.
recognizedAsInvasiveBy
Indicates that an entity has been formally identified and classified as invasive by a specified authority or source.
-
C.
invasiveness
Indicates the degree to which one entity intrudes upon, penetrates, or encroaches into another entity’s space, system, or integrity.
-
D.
hasInvasiveSpecies
chosen
Indicates that an area, ecosystem, or habitat contains one or more species that are non-native and causing or likely to cause ecological, economic, or environmental harm.
-
E.
consideredIn
Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.