Triple
T2504210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacillus anthracis |
E52538
|
entity |
| Predicate | hemolysisOnBloodAgar |
P40205
|
FINISHED |
| Object | typically non-hemolytic |
—
|
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: typically non-hemolytic | Statement: [Bacillus anthracis, hemolysisOnBloodAgar, typically non-hemolytic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hemolysisOnBloodAgar Context triple: [Bacillus anthracis, hemolysisOnBloodAgar, typically non-hemolytic]
-
A.
gramStain
Indicates the result of a Gram staining procedure, specifying how an organism or sample reacts to the Gram stain (e.g., Gram-positive or Gram-negative).
-
B.
hasBloodTypeSystem
Indicates that an entity uses or is classified according to a particular blood type classification system (e.g., ABO, Rh).
-
C.
bloodStatus
Indicates the classification of an entity based on the type or purity of its blood or lineage.
-
D.
sporeFormation
Indicates the process by which an organism produces and releases spores as a means of reproduction, survival, or dispersal.
-
E.
pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cd2db0819087d21ec49ffd9585 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1aa13a08190a8757c017d8a2478 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:46 p.m.