Triple
T10609931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dravet syndrome |
E275979
|
entity |
| Predicate | typicalAgeOfOnset |
P87250
|
FINISHED |
| Object | infancy |
—
|
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: infancy | Statement: [Dravet syndrome, typicalAgeOfOnset, infancy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgeOfOnset Context triple: [Dravet syndrome, typicalAgeOfOnset, infancy]
-
A.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
B.
hasEarlyOnsetForm
Indicates that the related condition, trait, or phenomenon occurs in an early-onset form, typically manifesting earlier in life than usual.
-
C.
approximateStartAge
chosen
Indicates the estimated or roughly determined age at which an event, condition, or state begins.
-
D.
typicalAgeAtSelection
Indicates the usual or most common age at which an entity is chosen or selected for a particular role, status, or process.
-
E.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
- 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_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. |
Created at: April 8, 2026, 7:32 p.m.