Triple
T1330965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Academy of Sciences building |
E28641
|
entity |
| Predicate | roofVegetation |
P3576
|
FINISHED |
| Object | native plant species |
—
|
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: native plant species | Statement: [California Academy of Sciences building, roofVegetation, native plant species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofVegetation Context triple: [California Academy of Sciences building, roofVegetation, native plant species]
-
A.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
B.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
C.
roofFeature
chosen
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
D.
greenRoofArea
Indicates the area or surface size of a roof that is covered with vegetation or green roofing systems.
-
E.
gardenFeature
Indicates that one entity serves as a feature, element, or component within a garden associated with 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c5f86c819098e98b046968954a |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.