Triple
T12368098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascadian flag |
E294923
|
entity |
| Predicate | treeRepresents |
P39361
|
FINISHED |
| Object | Douglas fir forests of Cascadia |
—
|
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: Douglas fir forests of Cascadia | Statement: [Cascadian flag, treeRepresents, Douglas fir forests of Cascadia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeRepresents Context triple: [Cascadian flag, treeRepresents, Douglas fir forests of Cascadia]
-
A.
commonTreeType
Indicates that two or more entities share the same type or classification of tree.
-
B.
componentRepresents
chosen
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
C.
topLevelRepresents
Indicates that one entity serves as the primary or overarching representation of another entity or concept at the highest level of abstraction or organization.
-
D.
boLeavesRepresent
Indicates that one entity’s leaves serve as a symbolic or visual representation of another entity.
-
E.
hasTree
Indicates that one entity possesses, contains, or is associated with a tree.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.