Triple
T36598976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group B Streptococcus |
E902870
|
entity |
| Predicate | firstLineTreatment |
P66793
|
FINISHED |
| Object | penicillin G |
—
|
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: penicillin G | Statement: [Group B Streptococcus, firstLineTreatment, penicillin G]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineTreatment Context triple: [Group B Streptococcus, firstLineTreatment, penicillin G]
-
A.
primaryTreatment
chosen
Indicates that a specified treatment is the main or first-line intervention used to address a particular condition or problem, as opposed to secondary or adjunctive treatments.
-
B.
firstLines
Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
-
C.
firstLineForm
Indicates that one entity is the initial or primary line-based representation or form of another entity.
-
D.
firstLineTransition
Indicates a transition or change that occurs at the very first line or initial position in a sequence or text.
-
E.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
- 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_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.