Triple
T15974325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CT colonography |
E387404
|
entity |
| Predicate | hasLowerRiskOf |
P117906
|
FINISHED |
| Object | colonic perforation compared with optical colonoscopy |
—
|
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: colonic perforation compared with optical colonoscopy | Statement: [CT colonography, hasLowerRiskOf, colonic perforation compared with optical colonoscopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerRiskOf Context triple: [CT colonography, hasLowerRiskOf, colonic perforation compared with optical colonoscopy]
-
A.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
B.
riskReductionFor
chosen
Indicates a relationship where one entity decreases or mitigates the level of risk associated with another entity or situation.
-
C.
hasLowAddictionPotential
Indicates that the associated substance, activity, or behavior is unlikely to lead to dependence or compulsive use.
-
D.
hasWithdrawalRisk
Indicates that discontinuing or reducing something is associated with a risk of withdrawal effects or adverse reactions.
-
E.
hasLowerFrequencyIn
Indicates that one entity occurs or appears less frequently within a specified context than 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_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.