Triple
T37807819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabbe disease |
E942551
|
entity |
| Predicate | typicalAgeOfOnsetInfantile |
P189532
|
FINISHED |
| Object | before 6 months 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 6 months of age | Statement: [Krabbe disease, typicalAgeOfOnsetInfantile, before 6 months of age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgeOfOnsetInfantile Context triple: [Krabbe disease, typicalAgeOfOnsetInfantile, before 6 months of age]
-
A.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
B.
hasAgeOfOnset
chosen
Indicates the point in time or age at which a condition, event, or state first begins or appears for an entity.
-
C.
approximateStartAge
Indicates the estimated or roughly determined age at which an event, condition, or state begins.
-
D.
hasEarlyOnsetForm
Indicates that the related condition, trait, or phenomenon occurs in an early-onset form, typically manifesting earlier in life than usual.
-
E.
typicalAgePrimaryInfection
Indicates the usual age range at which a primary (first-time) infection with a given agent typically occurs.
- 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.