Triple
T10609945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dravet syndrome |
E275979
|
entity |
| Predicate | hasTypicalSeizureType |
P94932
|
FINISHED |
| Object | generalized tonic-clonic seizures |
—
|
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: generalized tonic-clonic seizures | Statement: [Dravet syndrome, hasTypicalSeizureType, generalized tonic-clonic seizures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSeizureType Context triple: [Dravet syndrome, hasTypicalSeizureType, generalized tonic-clonic seizures]
-
A.
methodOfSeizure
Indicates the manner or technique by which something is taken, captured, or seized.
-
B.
locationOfSeizure
Indicates the place or setting where a seizure event occurs.
-
C.
hasTypicalConditions
Indicates that something is associated with conditions or circumstances that are commonly or normally present for it.
-
D.
hasTypicalSide
Indicates that one entity is the usual or characteristic side (e.g., lateral aspect) associated with another entity.
-
E.
seizureCompleted
Indicates that a previously initiated seizure (e.g., of property, assets, or items) has been fully carried out and brought to completion.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df59468881909b0c67d3f08c4b76 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.