Triple
T35237136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normalized Cuts for image segmentation |
E1017405
|
entity |
| Predicate | edgeWeightRepresents |
P144607
|
FINISHED |
| Object | similarity between pixels or regions |
—
|
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: similarity between pixels or regions | Statement: [Normalized Cuts for image segmentation, edgeWeightRepresents, similarity between pixels or regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeWeightRepresents Context triple: [Normalized Cuts for image segmentation, edgeWeightRepresents, similarity between pixels or regions]
-
A.
edgeWeights
chosen
Indicates a relationship where each edge in a graph is associated with a specific numerical weight or cost.
-
B.
edgeType
Indicates the specific kind or category of connection that exists between two related entities.
-
C.
edgeMultiplicity
Indicates how many parallel or repeated connections (edges) exist between the same pair of entities in a relationship.
-
D.
edgeFeature
Indicates a characteristic or property specifically associated with an edge or boundary within a structure, graph, or spatial configuration.
-
E.
edgeTransitivity
Indicates how consistently connections between entities form transitive patterns, such that if one entity is linked to a second and the second to a third, there is also a direct link between the first and third.
- 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.