Triple
T22516317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichocomaceae |
E556656
|
entity |
| Predicate | containsSpeciesOfMedicalImportance |
P70352
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Trichocomaceae, containsSpeciesOfMedicalImportance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSpeciesOfMedicalImportance Context triple: [Trichocomaceae, containsSpeciesOfMedicalImportance, yes]
-
A.
zoonoticPotential
Indicates the potential for a disease or pathogen to be transmitted from animals to humans.
-
B.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
-
C.
OIEListedDisease
Indicates that a disease is included on the official list of notifiable animal diseases maintained by the World Organisation for Animal Health (OIE/WOAH).
-
D.
includesSpeciesCausing
chosen
Indicates that one entity contains or encompasses species that are responsible for causing a particular effect, condition, or outcome in another entity.
-
E.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.