Triple
T12983609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schie waterway (as seen in View of Delft) |
E321712
|
entity |
| Predicate | mediumDepictedOn |
P99077
|
FINISHED |
| Object | oil on canvas |
—
|
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: oil on canvas | Statement: [Schie waterway (as seen in View of Delft), mediumDepictedOn, oil on canvas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumDepictedOn Context triple: [Schie waterway (as seen in View of Delft), mediumDepictedOn, oil on canvas]
-
A.
depictsMedium
Indicates that one entity visually represents or portrays the medium or material of another entity.
-
B.
mediumOfFame
Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
-
C.
mediumOfWorkAppearsIn
chosen
Indicates that a particular medium or format is the form in which a work is presented or appears.
-
D.
mediumDisplayed
Indicates that a particular medium (such as an image, video, or document) is being shown or rendered in a given context or interface.
-
E.
mediumSupport
Indicates that one entity provides a moderate or intermediate level of support or assistance to 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:39 p.m.