Triple
T15974318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CT colonography |
E387404
|
entity |
| Predicate | reconstructionTechnique |
P30323
|
FINISHED |
| Object | 3D endoluminal fly-through |
—
|
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: 3D endoluminal fly-through | Statement: [CT colonography, reconstructionTechnique, 3D endoluminal fly-through]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionTechnique Context triple: [CT colonography, reconstructionTechnique, 3D endoluminal fly-through]
-
A.
reconstructionMethod
chosen
Indicates the technique or process used to reconstruct, restore, or rebuild something from its original or fragmented state.
-
B.
reconstructionFeature
Indicates that one entity serves as a feature, component, or characteristic used in the reconstruction or restoration of another entity.
-
C.
involvesReconstructionOf
Indicates that one entity includes, requires, or performs the rebuilding, restoration, or re-creation of another entity or its prior state.
-
D.
reconstructionProgram
Indicates a program or initiative designed to rebuild, restore, or structurally improve something that has been damaged, degraded, or is otherwise in need of renewal.
-
E.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of 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.