Triple
T35237150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normalized Cuts for image segmentation |
E1017405
|
entity |
| Predicate | segmentationObtainedBy |
P90051
|
FINISHED |
| Object | thresholding eigenvector components |
—
|
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: thresholding eigenvector components | Statement: [Normalized Cuts for image segmentation, segmentationObtainedBy, thresholding eigenvector components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentationObtainedBy Context triple: [Normalized Cuts for image segmentation, segmentationObtainedBy, thresholding eigenvector components]
-
A.
segmentation
Indicates dividing something into distinct parts or segments based on certain criteria or boundaries.
-
B.
imageSeparationMethod
chosen
Indicates the technique or process used to separate or distinguish different components, regions, or elements within an image.
-
C.
segregatedIn
Indicates that one entity is separated or isolated within a specific space, group, or context defined by another entity.
-
D.
segmentAppearance
Indicates how a particular segment is visually or perceptually presented or manifested.
-
E.
segmentBy
Indicates dividing something into distinct parts or sections based on a specified criterion or boundary.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.