Triple
T37807841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabbe disease |
E942551
|
entity |
| Predicate | MRICharacteristic |
P22707
|
FINISHED |
| Object | diffuse white matter abnormalities |
—
|
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: diffuse white matter abnormalities | Statement: [Krabbe disease, MRICharacteristic, diffuse white matter abnormalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MRICharacteristic Context triple: [Krabbe disease, MRICharacteristic, diffuse white matter abnormalities]
-
A.
pathologyFeature
chosen
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
B.
hasBrainCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to the brain.
-
C.
featuresDisease
Indicates that an entity exhibits, presents, or is characterized by a particular disease.
-
D.
issueCharacterization
Indicates how an issue, problem, or case is categorized or described in terms of its nature, type, or defining attributes.
-
E.
magneticFieldCharacteristic
Indicates a relationship where a magnetic field is associated with or exhibits a specific characteristic or property.
- 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_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.