Triple
T2137354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guttera |
E46684
|
entity |
| Predicate | nativeBiome |
P952
|
FINISHED |
| Object | Afrotropical realm |
—
|
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: Afrotropical realm | Statement: [Guttera, nativeBiome, Afrotropical realm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeBiome Context triple: [Guttera, nativeBiome, Afrotropical realm]
-
A.
biome
chosen
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
B.
basedOnAnimalNativeTo
Indicates that something is derived from, inspired by, or modeled after an animal that is native to a specified geographic region.
-
C.
naturalOccurrence
Indicates that the related event or phenomenon happens in nature without direct human intervention or artificial cause.
-
D.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.