Triple
T50233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch elm disease |
E987
|
entity |
| Predicate | affectsTaxon |
P2895
|
FINISHED |
| Object | Ulmus |
—
|
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: Ulmus | Statement: [Dutch elm disease, affectsTaxon, Ulmus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsTaxon Context triple: [Dutch elm disease, affectsTaxon, Ulmus]
-
A.
taxonRank
Indicates the formal hierarchical rank (such as species, genus, family, etc.) that a given taxon occupies within a biological classification system.
-
B.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
C.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
D.
conservationStatus
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
E.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
- F. None of above. chosen
Provenance (4 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac23f04819080cef9365ed990d4 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24ba5da048190a484963cb5a9bb2b |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.