Triple
T6922151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du Forum |
E160212
|
entity |
| Predicate | artworkDepictionType |
P9800
|
FINISHED |
| Object | post‑Impressionist painting |
—
|
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: post‑Impressionist painting | Statement: [Place du Forum, artworkDepictionType, post‑Impressionist painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artworkDepictionType Context triple: [Place du Forum, artworkDepictionType, post‑Impressionist painting]
-
A.
depictionType
chosen
Indicates the specific manner or style in which something is visually represented or depicted.
-
B.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
C.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
D.
artworkSubjectHeading
Indicates that an artwork is associated with a specific subject heading used to categorize or describe its thematic content.
-
E.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fb8ac48190b50bbc47fad8288f |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.