Triple
T1141120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palo verde |
E23451
|
entity |
| Predicate | belongsToBiome |
P952
|
FINISHED |
| Object | desert biome |
—
|
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: desert biome | Statement: [Palo verde, belongsToBiome, desert biome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToBiome Context triple: [Palo verde, belongsToBiome, desert biome]
-
A.
biome
chosen
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
B.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
C.
biogeographicRole
Indicates the ecological or distributional role an entity plays within a particular biogeographic context or region.
-
D.
biogeographicallyRelatedTo
Indicates that two entities are connected through their biogeographic characteristics, such as shared distribution patterns, regions, or historical biogeographic processes.
-
E.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc290ae08190afbf7e7ea2100d9e |
completed | March 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.