Triple
T18801402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattedrale di San Lorenzo |
E459761
|
entity |
| Predicate | hasArtworkCollection |
P17367
|
FINISHED |
| Object | religious art |
—
|
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: religious art | Statement: [Cattedrale di San Lorenzo, hasArtworkCollection, religious art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtworkCollection Context triple: [Cattedrale di San Lorenzo, hasArtworkCollection, religious art]
-
A.
hasArtCollection
chosen
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
B.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
C.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
D.
hasOfficialArtwork
Indicates that an entity is associated with an officially sanctioned piece of artwork representing it.
-
E.
hasArtCooperative
Indicates that an entity participates in, is affiliated with, or is a member of an art-focused cooperative organization.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02400208190b1d84e2b0640df08 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.