Triple
T11698365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennox-Gastaut syndrome |
E278053
|
entity |
| Predicate | hasSeizureOnsetPattern |
P40498
|
FINISHED |
| Object | frequent daily 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: frequent daily seizures | Statement: [Lennox-Gastaut syndrome, hasSeizureOnsetPattern, frequent daily seizures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeizureOnsetPattern Context triple: [Lennox-Gastaut syndrome, hasSeizureOnsetPattern, frequent daily seizures]
-
A.
hasTypicalSeizureType
Indicates that an entity is associated with or characterized by a particular usual or predominant type of seizure.
-
B.
methodOfSeizure
Indicates the manner or technique by which something is taken, captured, or seized.
-
C.
locationOfSeizure
Indicates the place or setting where a seizure event occurs.
-
D.
hasOnsetTypes
chosen
Indicates the types or categories of onset (e.g., how or when something begins) that are associated with a given entity or condition.
-
E.
hasOnset
Indicates the point in time or condition at which a process, event, or state begins.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47df68c81908a91919a69b4880d |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.