Triple
T2504162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium tuberculosis |
E52537
|
entity |
| Predicate | antibioticResistanceIssue |
P29037
|
FINISHED |
| Object | multidrug-resistant tuberculosis |
—
|
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: multidrug-resistant tuberculosis | Statement: [Mycobacterium tuberculosis, antibioticResistanceIssue, multidrug-resistant tuberculosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antibioticResistanceIssue Context triple: [Mycobacterium tuberculosis, antibioticResistanceIssue, multidrug-resistant tuberculosis]
-
A.
peptidoglycanTargetingAntibioticSensitivity
Indicates that an entity (such as a bacterium or strain) is sensitive or susceptible to antibiotics that act by targeting peptidoglycan in the cell wall.
-
B.
pestResistance
Indicates that an entity has the ability to withstand, deter, or remain unaffected by damage or harm caused by pests.
-
C.
underlyingIssue
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
D.
diseaseResistance
Indicates how effectively one entity can prevent, withstand, or recover from harmful effects caused by a particular disease or pathogen in relation to another.
-
E.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- 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_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. |
Created at: March 6, 2026, 9:46 p.m.