Triple
T31535465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | progressive supranuclear palsy |
E804589
|
entity |
| Predicate | hasNoCure |
P202693
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [progressive supranuclear palsy, hasNoCure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoCure Context triple: [progressive supranuclear palsy, hasNoCure, true]
-
A.
hasCure
Indicates that one entity serves as a remedy or treatment that can eliminate or effectively counteract a disease, condition, or problem affecting another entity.
-
B.
doesNotCure
Indicates that an action, treatment, or intervention fails to eliminate or resolve a condition, problem, or disease in the affected entity.
-
C.
canBeCured
Indicates that a condition, problem, or ailment is capable of being remedied or eliminated through some form of treatment or intervention.
-
D.
hasRemedy
Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
-
E.
hasNoApprovedDrugTreatment
Indicates that there is currently no officially approved drug-based treatment available for the condition or situation in question.
- F. None of above. chosen
Provenance (4 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00ada2903481908b28ce55ef97a6c2 |
completed | May 10, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_6a00ad5d23788190b3f9e2de761d39bb |
completed | May 10, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_6a00ada1f3588190a7138e9f9afb9a6b |
completed | May 10, 2026, 4:09 p.m. |
Created at: April 30, 2026, 10:03 p.m.