Triple
T18180530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Aberdeen Children’s Hospital |
E435266
|
entity |
| Predicate | treatsConditionGroup |
P31662
|
FINISHED |
| Object | childhood 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: childhood cancers | Statement: [Royal Aberdeen Children’s Hospital, treatsConditionGroup, childhood cancers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsConditionGroup Context triple: [Royal Aberdeen Children’s Hospital, treatsConditionGroup, childhood cancers]
-
A.
treatsConditionType
Indicates that one entity (typically a treatment, procedure, or intervention) is used to address, manage, or cure a particular type or category of medical condition.
-
B.
controlGroup
Indicates that one entity functions as the control group against which another condition, treatment, or experimental group is compared.
-
C.
interactsWithGroup
Indicates that an entity engages in actions or exchanges with a collective group of other entities.
-
D.
definesConditionsFor
Indicates that one entity specifies or establishes the rules, requirements, or circumstances under which another entity is valid, applicable, or operates.
-
E.
targetedCondition
chosen
Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffa75a081908dad0dcbd736172d |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.