Triple
T37412523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium marinum |
E929610
|
entity |
| Predicate | notableVirulenceFeature |
P40198
|
FINISHED |
| Object | intracellular survival in macrophages |
—
|
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: intracellular survival in macrophages | Statement: [Mycobacterium marinum, notableVirulenceFeature, intracellular survival in macrophages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVirulenceFeature Context triple: [Mycobacterium marinum, notableVirulenceFeature, intracellular survival in macrophages]
-
A.
virulenceFactor
chosen
Indicates that an entity contributes to the ability of a pathogen to infect, damage, or evade the defenses of its host.
-
B.
virulence
Indicates the degree to which a pathogen or harmful agent is capable of causing damage, disease, or severe effects in its host.
-
C.
pathogenicity
Indicates that one entity has the capacity to cause disease or harmful pathological effects in another entity.
-
D.
featuresToxin
Indicates that an entity contains, produces, or is characterized by the presence of a toxin.
-
E.
notableFeat
Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
- 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_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.