Triple
T32195885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chronic lymphocytic leukemia |
E822402
|
entity |
| Predicate | canTransformTo |
P120301
|
FINISHED |
| Object | diffuse large B-cell lymphoma |
—
|
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 large B-cell lymphoma | Statement: [chronic lymphocytic leukemia, canTransformTo, diffuse large B-cell lymphoma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canTransformTo Context triple: [chronic lymphocytic leukemia, canTransformTo, diffuse large B-cell lymphoma]
-
A.
canTransform
chosen
Indicates that one entity is capable of being changed or converted into another entity or state.
-
B.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
C.
hasTransformationType
Indicates that an entity undergoes or is associated with a specific kind or category of transformation.
-
D.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
E.
hasTransformation
Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb3795fc8190bfcb00d45aa887a1 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.