Triple
T15974298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CT colonography |
E387404
|
entity |
| Predicate | isMinimallyInvasive |
P120683
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [CT colonography, isMinimallyInvasive, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMinimallyInvasive Context triple: [CT colonography, isMinimallyInvasive, true]
-
A.
miniaturizedIn
Indicates that one entity exists as a smaller-scale or reduced-size version within or relative to another entity.
-
B.
wasPioneeredInSurgeryBy
Indicates that a particular surgical technique, procedure, or approach was first developed, introduced, or trailblazed by a specific surgeon or surgical team.
-
C.
surgicalField
Indicates the specific anatomical area or region of the body on which a surgical procedure is performed.
-
D.
hasSurgery
Indicates that a surgical procedure is performed on or undergone by an entity.
-
E.
operatedWith
Indicates that an entity performed an action, function, or process using a specified tool, method, or instrument.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:54 a.m.