Triple
T2403772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stelara |
E50227
|
entity |
| Predicate | hasPediatricIndicationFor |
P23162
|
FINISHED |
| Object | plaque psoriasis |
—
|
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: plaque psoriasis | Statement: [Stelara, hasPediatricIndicationFor, plaque psoriasis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPediatricIndicationFor Context triple: [Stelara, hasPediatricIndicationFor, plaque psoriasis]
-
A.
hasContraindication
Indicates that one entity (such as a treatment, drug, or procedure) should not be used or performed in the presence of another entity (such as a condition, factor, or co-medication) because it may cause harm or adverse effects.
-
B.
protectedDrugClassesInclude
Indicates that the specified set of protected drug classes includes the referenced drug class or classes.
-
C.
FDAApprovalType
Indicates the specific regulatory pathway or category under which a product has been approved by the U.S. Food and Drug Administration.
-
D.
indicatedFor
chosen
Indicates...that one entity (typically a treatment, procedure, or product) is recommended or appropriate for use in relation to another entity (such as a condition, symptom, or patient group).
-
E.
hasDosingRegimen
Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.