Triple
T35237135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normalized Cuts for image segmentation |
E1017405
|
entity |
| Predicate | representsImageAs |
P167939
|
FINISHED |
| Object | weighted undirected graph |
—
|
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: weighted undirected graph | Statement: [Normalized Cuts for image segmentation, representsImageAs, weighted undirected graph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsImageAs Context triple: [Normalized Cuts for image segmentation, representsImageAs, weighted undirected graph]
-
A.
imageRepresentation
chosen
Indicates that one entity serves as a visual depiction or graphical representation of another entity.
-
B.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
C.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
D.
isImageOf
Indicates that one entity is a visual depiction or representation of another entity.
-
E.
paintsImageOf
Indicates that one entity creates a visual artwork depicting or representing 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.