Triple
T989625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cupressus sempervirens |
E21357
|
entity |
| Predicate | landscapeUse |
P1479
|
FINISHED |
| Object | formal avenues |
—
|
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: formal avenues | Statement: [Cupressus sempervirens, landscapeUse, formal avenues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landscapeUse Context triple: [Cupressus sempervirens, landscapeUse, formal avenues]
-
A.
landscapeDesignedBy
Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
-
B.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
C.
hasLandscaping
Indicates that an entity possesses or is associated with designed outdoor grounds or landscape features.
-
D.
landscapeStyle
chosen
Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
-
E.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4aa16f081909dcc7a7ce3fb1b64 |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.