Triple
T37789521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radiation Exposure Compensation Act |
E942041
|
entity |
| Predicate | coversDiseaseCategory |
P164595
|
FINISHED |
| Object | certain cancers |
—
|
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: certain cancers | Statement: [Radiation Exposure Compensation Act, coversDiseaseCategory, certain cancers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversDiseaseCategory Context triple: [Radiation Exposure Compensation Act, coversDiseaseCategory, certain cancers]
-
A.
includesDisease
Indicates that one entity (such as a category, group, or collection) contains or encompasses a particular disease as part of its members or elements.
-
B.
diseaseContext
Indicates that the relationship or action occurs within, is influenced by, or is specifically relevant to a particular disease or pathological condition.
-
C.
categoryCovered
chosen
Indicates that one category is included within, addressed by, or encompassed under the scope of another entity or context.
-
D.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
E.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: May 3, 2026, 4:19 p.m.