Triple
T36598966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group B Streptococcus |
E902870
|
entity |
| Predicate | serotypes |
P99892
|
FINISHED |
| Object | Ia |
—
|
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: Ia | Statement: [Group B Streptococcus, serotypes, Ia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serotypes Context triple: [Group B Streptococcus, serotypes, Ia]
-
A.
includesSerotype
chosen
Indicates that one entity contains or encompasses a specific serotype as part of its defined set or composition.
-
B.
serogroup
Indicates that entities are grouped or classified together based on sharing the same serological (antigenic) characteristics.
-
C.
antigenicSubtype
Indicates a relationship where one entity is classified as a specific antigenic subtype or variant of another based on its antigenic properties.
-
D.
virusSubtype
Indicates the specific subtype classification of a virus within a broader virus type or strain.
-
E.
protectsAgainstSerotypeCount
Indicates the number of distinct serotypes that something (typically a treatment, vaccine, or agent) provides protection against.
- 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.