Triple
T34046690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Restless legs syndrome |
E873102
|
entity |
| Predicate | hasPharmacologicTreatment |
P78752
|
FINISHED |
| Object | dopamine agonists |
—
|
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: dopamine agonists | Statement: [Restless legs syndrome, hasPharmacologicTreatment, dopamine agonists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPharmacologicTreatment Context triple: [Restless legs syndrome, hasPharmacologicTreatment, dopamine agonists]
-
A.
usesTreatment
chosen
Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
-
B.
hasCommonTreatment
Indicates that two or more entities share at least one treatment method or therapeutic approach in common.
-
C.
hasNoApprovedDrugTreatment
Indicates that there is currently no officially approved drug-based treatment available for the condition or situation in question.
-
D.
hasReceivedTreatmentFor
Indicates that an entity has undergone or been given a treatment in relation to a specified condition, issue, or problem.
-
E.
hasTreatmentConsideration
Indicates that a particular factor, condition, or option should be taken into account when planning, selecting, or managing a treatment.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:51 a.m.