Triple
T37807820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabbe disease |
E942551
|
entity |
| Predicate | typicalSurvivalInfantile |
P67865
|
FINISHED |
| Object | before 2 years of age |
—
|
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: before 2 years of age | Statement: [Krabbe disease, typicalSurvivalInfantile, before 2 years of age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSurvivalInfantile Context triple: [Krabbe disease, typicalSurvivalInfantile, before 2 years of age]
-
A.
survivingChild
Indicates that one entity is a child of another and remains alive after the other’s death.
-
B.
diedInInfancy
chosen
Indicates that an individual died during infancy, before reaching early childhood.
-
C.
infancyEvent
Indicates an event or occurrence that takes place during the infancy stage of an entity’s life.
-
D.
typicalCroup
Indicates that an instance exhibits the characteristic features or presentation commonly associated with croup.
-
E.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.