Triple
T24836485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Gogh walking trail in Arles |
E621485
|
entity |
| Predicate | panelContent |
P126484
|
FINISHED |
| Object | view of the corresponding real-life scene |
—
|
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: view of the corresponding real-life scene | Statement: [Van Gogh walking trail in Arles, panelContent, view of the corresponding real-life scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panelContent Context triple: [Van Gogh walking trail in Arles, panelContent, view of the corresponding real-life scene]
-
A.
panels
Indicates that one entity is composed of, covered by, or divided into flat sections or segments formed by another entity.
-
B.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
-
C.
panelControl
Indicates a relationship where one entity controls, manages, or operates a panel associated with another entity.
-
D.
contentIs
chosen
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
E.
primaryContentRegion
Indicates the main area or section where the most important or central content is located or presented.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:17 a.m.