Triple
T25981760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulanje Mountain Forest Reserve |
E646088
|
entity |
| Predicate | endemicSpeciesScientificName |
P95276
|
FINISHED |
| Object | Widdringtonia whytei |
—
|
NE NERFINISHED |
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: Widdringtonia whytei | Statement: [Mulanje Mountain Forest Reserve, endemicSpeciesScientificName, Widdringtonia whytei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endemicSpeciesScientificName Context triple: [Mulanje Mountain Forest Reserve, endemicSpeciesScientificName, Widdringtonia whytei]
-
A.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
B.
hasScientificSpecies
chosen
Indicates that an entity is associated with a specific scientific (Latin) species name.
-
C.
isEndemicGenus
Indicates that a genus naturally occurs only within a specific geographic region and is not found natively elsewhere.
-
D.
commonNameOfNotableSpecies
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
-
E.
hasEndemicSubspecies
Indicates that a species has one or more subspecies that are native and restricted to a particular geographic area.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605102a1881909e83c4240c4ccdc6 |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:54 a.m.