Triple
T28821933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascade–Siskiyou National Monument |
E727790
|
entity |
| Predicate | hasSpeciesRichness |
P22447
|
FINISHED |
| Object | high plant diversity |
—
|
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: high plant diversity | Statement: [Cascade–Siskiyou National Monument, hasSpeciesRichness, high plant diversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeciesRichness Context triple: [Cascade–Siskiyou National Monument, hasSpeciesRichness, high plant diversity]
-
A.
hasBiodiversityFeature
chosen
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
B.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
C.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
D.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
E.
hasBiodiversitySignificance
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 6:34 a.m.