Triple
T36598937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group B Streptococcus |
E902870
|
entity |
| Predicate | catalaseActivity |
P166757
|
FINISHED |
| Object | catalase-negative |
—
|
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: catalase-negative | Statement: [Group B Streptococcus, catalaseActivity, catalase-negative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalaseActivity Context triple: [Group B Streptococcus, catalaseActivity, catalase-negative]
-
A.
catalaseTest
chosen
Indicates whether an organism exhibits catalase enzyme activity, typically determined by its ability to break down hydrogen peroxide into water and oxygen.
-
B.
hasEnzymeActivity
Indicates that an entity performs or exhibits a specific enzyme-catalyzed biochemical activity.
-
C.
actsOnEnzyme
Indicates that one entity performs an action that affects the activity, function, or state of an enzyme.
-
D.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
-
E.
oxidaseTest
Indicates whether an organism produces oxidase enzymes that catalyze oxidation-reduction reactions detectable by the oxidase biochemical test.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.