Triple
T15974326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CT colonography |
E387404
|
entity |
| Predicate | screeningPopulation |
P68635
|
FINISHED |
| Object | average-risk adults for colorectal cancer |
—
|
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: average-risk adults for colorectal cancer | Statement: [CT colonography, screeningPopulation, average-risk adults for colorectal cancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screeningPopulation Context triple: [CT colonography, screeningPopulation, average-risk adults for colorectal cancer]
-
A.
targetedPopulation
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
B.
servicePopulationType
Indicates the type or category of population that a service is intended to serve or target.
-
C.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
D.
hasIndicationPopulation
chosen
Indicates that a medical indication is specifically applicable to, or defined for, a particular population group.
-
E.
peakPopulationApproximate
Indicates that the peak population of an entity is known only approximately rather than as an exact value.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.