Triple
T37412506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium marinum |
E929610
|
entity |
| Predicate | zoonoticAgent |
P127719
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mycobacterium marinum, zoonoticAgent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoonoticAgent Context triple: [Mycobacterium marinum, zoonoticAgent, true]
-
A.
zoonosisAgent
chosen
Indicates that an agent (such as a pathogen or vector) is responsible for causing a zoonotic disease transmitted between animals and humans.
-
B.
zoonosisType
Indicates that a disease is transmitted from animals to humans, specifying the type or category of this animal-to-human transmission.
-
C.
zoonoticStatus
Indicates whether a disease or pathogen can be transmitted between animals and humans.
-
D.
zoonoticPotential
Indicates the potential for a disease or pathogen to be transmitted from animals to humans.
-
E.
zoonoticOriginSuspected
Indicates that a disease or pathogen is suspected to have originated in animals and then been transmitted to humans.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.