Triple
T33005322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Sant’Agostino |
E844482
|
entity |
| Predicate | hasArtworksType |
P133936
|
FINISHED |
| Object | frescoes |
—
|
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: frescoes | Statement: [Church of Sant’Agostino, hasArtworksType, frescoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtworksType Context triple: [Church of Sant’Agostino, hasArtworksType, frescoes]
-
A.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
B.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
C.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
D.
hasTypeOfWorkExhibited
chosen
Indicates that a subject (such as an exhibition or venue) features or displays a particular type or category of work.
-
E.
typeOfWorksListed
Indicates that the kinds or categories of works associated with an entity are specified or enumerated.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 1, 2026, 1:23 a.m.