Triple
T38646261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macrococcus |
E938723
|
entity |
| Predicate | antibioticResistancePotential |
P81151
|
FINISHED |
| Object | may carry resistance genes |
—
|
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: may carry resistance genes | Statement: [Macrococcus, antibioticResistancePotential, may carry resistance genes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antibioticResistancePotential Context triple: [Macrococcus, antibioticResistancePotential, may carry resistance genes]
-
A.
isBacteriaResistant
chosen
Indicates that a bacterium is not inhibited or killed by a particular antibiotic or antimicrobial treatment.
-
B.
drugSusceptibility
Indicates that one entity (typically a microorganism, cell, or condition) is vulnerable or responsive to the effects of a specified drug or therapeutic agent.
-
C.
isResistant
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
D.
blastResistance
Indicates the degree to which something can withstand or resist damage from an explosion or blast.
-
E.
betaLactamaseProduction
Indicates that an entity produces beta-lactamase enzymes that can inactivate beta-lactam antibiotics.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.