Triple
T22316716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapel Bridge |
E551663
|
entity |
| Predicate | interiorPaintingsDepict |
P64147
|
FINISHED |
| Object | events from Swiss history |
—
|
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: events from Swiss history | Statement: [Chapel Bridge, interiorPaintingsDepict, events from Swiss history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorPaintingsDepict Context triple: [Chapel Bridge, interiorPaintingsDepict, events from Swiss history]
-
A.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
B.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
C.
ceilingPaintingSubject
chosen
Indicates that the subject depicted or represented in a painting is located on or associated with a ceiling.
-
D.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
-
E.
paints
Indicates that one entity applies paint to create, cover, or decorate 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157535eb48190adbefbb619cb5fcd |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.